{"title":"NVIDIA Blackwell AI PCs \u0026 Graphics Cards","description":null,"products":[{"product_id":"nvidia-rtx-6000-pro-blackwell-96gb-gddr7-for-ai-rendering-workstation-gpu","title":"Nvidia RTX 6000 Pro Blackwell 96GB GDDR7 for AI \u0026 Rendering Workstation GPU","description":"\u003cul\u003e\u003c\/ul\u003e\n\u003cp\u003e🔥 \u003cstrong\u003eUnmatched Compute Power\u003c\/strong\u003e – Designed for AI, rendering, and complex simulations.\u003c\/p\u003e\n\u003cp\u003e💾 \u003cstrong\u003eMassive 96GB GDDR7 Memory\u003c\/strong\u003e – Handle ultra-large datasets and 3D projects effortlessly.\u003c\/p\u003e\n\u003cp\u003e⚡ \u003cstrong\u003eBlackwell Architecture\u003c\/strong\u003e – Next-gen performance with advanced efficiency.\u003c\/p\u003e\n\u003cp\u003e🛡️ \u003cstrong\u003eWorkstation-Grade Reliability\u003c\/strong\u003e – Optimized for stability under heavy workloads.\u003c\/p\u003e\n\u003cp\u003e🔗 \u003cstrong\u003eFuture-Proof Connectivity\u003c\/strong\u003e – PCIe Gen5 and cutting-edge display support.\u003c\/p\u003e\n\u003cp\u003eThe NVIDIA RTX 6000 Pro Blackwell Workstation Edition redefines professional graphics performance. Equipped with 96GB of ultra-fast GDDR7 memory, it delivers exceptional power for AI, 3D rendering, and scientific computing. Its Blackwell architecture ensures superior efficiency and scalability for demanding workflows. Designed for workstation environments, it guarantees stability and reliability under continuous load. Perfect for creators, engineers, and researchers seeking uncompromised performance.\u003c\/p\u003e\n\u003ctable width=\"570\" style=\"border-collapse: collapse; width: 428pt;\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"206\" style=\"width: 155pt;\"\u003e \u003ccol width=\"364\" style=\"width: 273pt;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eFeature\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl579\" style=\"width: 273pt;\"\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eCUDA® Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4000 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e125 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e380 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e1792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4× DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"67\" style=\"height: 50.25pt;\"\u003e\n\u003ctd width=\"206\" height=\"67\" class=\"xl1082\" style=\"width: 155pt; height: 50.25pt;\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl576\" style=\"width: 273pt;\"\u003e\u0026gt;4× 4096×2160 @120 Hz\u003cbr\u003e\u0026gt;4× 5120×2880 @60 Hz\u003cbr\u003e\u0026gt;2× 7680×4320 @60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eVideo Engines\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4× NVENC (9th Gen), 4× NVDEC (6th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"67\" style=\"height: 50.25pt;\"\u003e\n\u003ctd width=\"206\" height=\"67\" class=\"xl1082\" style=\"width: 155pt; height: 50.25pt;\"\u003eMIG Support\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl576\" style=\"width: 273pt;\"\u003eUp to 4× 24 GB\u003cbr\u003eUp to 2× 48 GB\u003cbr\u003eUp to 1× 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e600 W (Total Board Power)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e1× PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eDouble-flow-through\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e5.4” H × 12” L, dual slot, extended height\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eDirectX 12, Shader Model 6.6, OpenGL 4.63, Vulkan 1.33\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eCompute APIs\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eCUDA 12.8, OpenCL 3.0, DirectCompute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl579\" style=\"height: 15.0pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e3 Years Manufacturer Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":52046084407599,"sku":"NVIDIA-RTX-6000-Pro-Blackwell","price":1999998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/41QNagw_c2L.jpg?v=1763809535"},{"product_id":"nvidia-rtx-6000-pro-blackwell-96gb-gddr7-for-ai-rendering-workstation-gpu-copy","title":"Nvidia RTX 6000 Pro Blackwell 96GB GDDR7 Server Edition 96GB GPU","description":"\u003cul\u003e\u003c\/ul\u003e\n\u003cp\u003e🔥 \u003cstrong\u003eUnmatched Compute Power\u003c\/strong\u003e – Designed for AI, rendering, and complex simulations.\u003c\/p\u003e\n\u003cp\u003e💾 \u003cstrong\u003eMassive 96GB GDDR7 Memory\u003c\/strong\u003e – Handle ultra-large datasets and 3D projects effortlessly.\u003c\/p\u003e\n\u003cp\u003e⚡ \u003cstrong\u003eBlackwell Architecture\u003c\/strong\u003e – Next-gen performance with advanced efficiency.\u003c\/p\u003e\n\u003cp\u003e🛡️ \u003cstrong\u003eWorkstation-Grade Reliability\u003c\/strong\u003e – Optimized for stability under heavy workloads.\u003c\/p\u003e\n\u003cp\u003e🔗 \u003cstrong\u003eFuture-Proof Connectivity\u003c\/strong\u003e – PCIe Gen5 and cutting-edge display support.\u003c\/p\u003e\n\u003cp\u003eThe NVIDIA RTX 6000 Pro Blackwell Workstation Edition redefines professional graphics performance. Equipped with 96GB of ultra-fast GDDR7 memory, it delivers exceptional power for AI, 3D rendering, and scientific computing. Its Blackwell architecture ensures superior efficiency and scalability for demanding workflows. Designed for workstation environments, it guarantees stability and reliability under continuous load. Perfect for creators, engineers, and researchers seeking uncompromised performance.\u003c\/p\u003e\n\u003ctable width=\"570\" style=\"border-collapse: collapse; width: 428pt;\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"206\" style=\"width: 155pt;\"\u003e \u003ccol width=\"364\" style=\"width: 273pt;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eFeature\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl579\" style=\"width: 273pt;\"\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eCUDA® Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4000 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e125 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e380 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e1792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4× DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"67\" style=\"height: 50.25pt;\"\u003e\n\u003ctd width=\"206\" height=\"67\" class=\"xl1082\" style=\"width: 155pt; height: 50.25pt;\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl576\" style=\"width: 273pt;\"\u003e\u0026gt;4× 4096×2160 @120 Hz\u003cbr\u003e\u0026gt;4× 5120×2880 @60 Hz\u003cbr\u003e\u0026gt;2× 7680×4320 @60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eVideo Engines\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e4× NVENC (9th Gen), 4× NVDEC (6th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"67\" style=\"height: 50.25pt;\"\u003e\n\u003ctd width=\"206\" height=\"67\" class=\"xl1082\" style=\"width: 155pt; height: 50.25pt;\"\u003eMIG Support\u003c\/td\u003e\n\u003ctd width=\"364\" class=\"xl576\" style=\"width: 273pt;\"\u003eUp to 4× 24 GB\u003cbr\u003eUp to 2× 48 GB\u003cbr\u003eUp to 1× 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e600 W (Total Board Power)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e1× PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eDouble-flow-through\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e5.4” H × 12” L, dual slot, extended height\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eDirectX 12, Shader Model 6.6, OpenGL 4.63, Vulkan 1.33\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd width=\"206\" height=\"22\" class=\"xl1082\" style=\"width: 155pt; height: 16.5pt;\"\u003eCompute APIs\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003eCUDA 12.8, OpenCL 3.0, DirectCompute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl579\" style=\"height: 15.0pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl575\"\u003e3 Years Manufacturer Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":52046167179567,"sku":null,"price":25499999.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/41QNagw_c2L.jpg?v=1763809535"},{"product_id":"nvidia-rtx-pro-6000-blackwell-max-q-96gb-gpu","title":"NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB GDDR7 Workstation GPU","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cstrong\u003e🚀 Performance\u003c\/strong\u003e: Powered by NVIDIA Blackwell architecture for next-gen AI and graphics workloads.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e💾 Memory\u003c\/strong\u003e: Massive 96GB GDDR7 ECC memory for handling complex datasets and simulations.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e⚡ Efficiency\u003c\/strong\u003e: Max-Q design with 300W power for high performance in compact workstation builds.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e🎨 Visual Fidelity\u003c\/strong\u003e: Advanced ray tracing and AI-driven rendering for photorealistic visuals.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e🔒 Reliability\u003c\/strong\u003e: ECC memory and certified drivers ensure stability for professional applications.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e🌐 Connectivity\u003c\/strong\u003e: Supports multiple high-resolution displays and advanced I\/O for demanding workflows.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation GPU\u003c\/strong\u003e delivers unmatched performance for AI, rendering, and simulation tasks. Featuring \u003cstrong\u003e96GB GDDR7 ECC memory\u003c\/strong\u003e, it ensures seamless handling of large datasets and complex projects. With \u003cstrong\u003eMax-Q efficiency at 300W\u003c\/strong\u003e, it’s perfect for compact, high-end workstations. 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border-top: none;\" class=\"xl65\" height=\"20\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003e568\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5521px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.5521px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eInterface\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003ePCIe Gen 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5521px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.5521px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003e4x DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5521px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.5521px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003eChina\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5521px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.5521px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eModel Number\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003eRTX6000-BW-MQ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5521px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.5521px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.5521px;\" class=\"xl66\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.6042px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 36.6042px; border-top: none;\" class=\"xl65\" height=\"20\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; height: 36.6042px;\" class=\"xl66\"\u003e1.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":52111011676463,"sku":"RTX6000-BW-MQ","price":1999998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_RTX_PRO_6000_Blackwell_Max-Q_96GB_GDDR7_Workstation_GPU-tpstech.in.webp?v=1765530582"},{"product_id":"rtx-pro-4000-blackwell-24gb-gddr7","title":"NVIDIA RTX PRO 4000 Blackwell 24 GB GDDR7 Professional GPU","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔧 \u003cstrong\u003ePowered by Blackwell Architecture:\u003c\/strong\u003e Cutting-edge Blackwell™ GPU with 8,960 CUDA cores for exceptional AI and compute performance.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003e24GB GDDR7 Memory:\u003c\/strong\u003e Ultra-fast memory with 672GB\/s bandwidth for handling large datasets and complex workflows.\u003cbr\u003e\u003cbr\u003e🧠 \u003cstrong\u003eAdvanced AI Acceleration:\u003c\/strong\u003e 5th-gen Tensor Cores supporting FP4 and DLSS 4 for rapid generative AI and inference tasks.\u003cbr\u003e\u003cbr\u003e🎯 \u003cstrong\u003eEnhanced Ray-Tracing Performance:\u003c\/strong\u003e 4th-gen RT Cores deliver up to 2× speed for photorealistic rendering and simulations.\u003cbr\u003e\u003cbr\u003e🔌 \u003cstrong\u003eCompact Single-Slot Design:\u003c\/strong\u003e Space-saving design with PCIe 5.0 x16 interface and 140W power efficiency.\u003cbr\u003e\u003cbr\u003e🎥 \u003cstrong\u003eProfessional Video Support:\u003c\/strong\u003e Equipped with 9th-gen NVENC\/NVDEC and four DisplayPort 2.1b for multi-display setups.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003eThe NVIDIA RTX PRO 4000 Blackwell is a single-slot professional GPU designed for AI, rendering, and simulation workloads. Featuring 24GB GDDR7 memory and next-gen RT and Tensor Cores, it delivers exceptional speed and efficiency. Its compact design fits space-constrained workstations while supporting PCIe 5.0 connectivity. 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With support for multi‑display setups and PCIe 5.0 bandwidth, it ensures smooth performance across modern workstations.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003ctable height=\"1072\" style=\"border-collapse: collapse; width: 536px;\" width=\"364\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\"\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 259px;\" width=\"173\"\u003e \u003ccol style=\"width: 276px;\" width=\"191\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; width: 130pt;\" width=\"173\" class=\"xl65\" height=\"20\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 143pt;\" width=\"191\" class=\"xl67\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eBrand\u003c\/td\u003e\n\u003ctd style=\"border-left: none;\" class=\"xl66\"\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eSeries\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eRTX PRO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eModel Name\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eRTX PRO 5000 Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003ePart Number\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e900‑5G153‑2550‑000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl68\"\u003e14,080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eFifth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eFourth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e2,064 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eSingle‑Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e65 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e196 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e48 GB GDDR7 with ECC \u003cspan class=\"font5\"\u003e(72 GB variant also available)\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e384‑bit or 512‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e1,344 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e4 × DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e\u0026gt;4 × 4096 × 2160 @ 120 Hz; \u0026gt;4 × 5120 × 2880 @ 60 Hz; \u0026gt;2 × 7680 × 4320 @ 60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eVideo Engines\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e\n\u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003e2× or 3×NVENC (ninth gen); : 2× or 3× NVDEC (sixth gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eMIG Support\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eUp to 2 × 24 GB; Up to 1 × 48 GB; Up to 2 × 36 GB; Up to 1 × 72 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-height-source: userset; height: 23.0pt;\" height=\"31\"\u003e\n\u003ctd style=\"height: 23.0pt; border-top: none;\" class=\"xl65\" height=\"31\"\u003eTotal Board Power (TBP)\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e1 × PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eFull height, dual‑slot; 4.4″ (H) × 10.5″ (L)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eDirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eCompute APIs\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eCUDA 12.8, OpenCL 3.0, DirectCompute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003eChina\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e1.1 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt; border-top: none;\" class=\"xl65\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none;\" class=\"xl66\"\u003e3‑Year Limited\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":52342919627055,"sku":"900‑5G153‑2550‑000","price":799999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_RTX_PRO_5000_Blackwell_48GB_GDDR7_ECC_Professional_Workstation_GPU-tpstech.in.webp?v=1767764009"},{"product_id":"nvidia-rtx-pro-2000-blackwell-16gb-gddr7","title":"NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 Professional Workstation GPU","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔥 \u003cstrong\u003eUltra-Fast Performance:\u003c\/strong\u003e Powered by the advanced Blackwell architecture for accelerated AI, design, and rendering workflows.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003eHigh-Speed Memory:\u003c\/strong\u003e Equipped with 16GB GDDR7 memory for seamless multitasking and heavy professional workloads.\u003cbr\u003e\u003cbr\u003e🎨 \u003cstrong\u003ePro-Grade Visualization:\u003c\/strong\u003e Enhanced neural rendering, real‑time ray tracing, and next‑gen CUDA\/Tensor\/RT cores for superior graphics precision.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003eMulti‑Display Ready:\u003c\/strong\u003e Features four Mini DisplayPort 2.1b outputs supporting ultra‑high‑resolution multi‑monitor setups.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003ePower‑Efficient Design:\u003c\/strong\u003e Compact, low‑power 70W TDP ideal for small form-factor workstations without performance compromise.\u003cbr\u003e\u003cbr\u003e🔧 \u003cstrong\u003eNext‑Gen Connectivity:\u003c\/strong\u003e PCIe Gen 5 interface ensures faster data bandwidth for AI, engineering, and creative applications.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003eThe NVIDIA RTX PRO 2000 Blackwell delivers exceptional performance for creators, engineers, and AI professionals. Featuring 16GB ultra‑fast GDDR7 memory, advanced CUDA, Tensor, and RT cores, it accelerates 3D rendering, AI workflows, and complex design tasks with unmatched efficiency. Its compact, power‑efficient 70W design fits seamlessly into small workstations while supporting next‑gen PCIe Gen 5 connectivity and four Mini DisplayPort 2.1b outputs. Built for reliability and precision, it empowers modern productivity and professional innovation.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"364\" style=\"border-collapse: collapse; width: 541px; height: 868px;\" height=\"662\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"173\" style=\"width: 261px;\"\u003e \u003ccol width=\"191\" style=\"width: 279px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"173\" style=\"height: 25.3229px; width: 130pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl65\" width=\"191\" style=\"border-left: none; width: 143pt; height: 25.3229px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003ePart Number\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e900‑5G‑195‑2551‑000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eBlackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd class=\"xl67\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e4,352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e545 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eSingle‑Precision Performance\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e17 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e52 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e16 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e128‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e288 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003ePCIe 5.0 x8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e4× Mini DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eUp to 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eVideo Engines\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e1× NVENC (9th Gen), 1× NVDEC (6th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eMax 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eActive Cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"31\" style=\"height: 38.7292px;\"\u003e\n\u003ctd height=\"31\" class=\"xl65\" style=\"height: 38.7292px; border-top: none;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 38.7292px;\"\u003e2.7” H × 6.6” L, Dual‑Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 49.4479px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 49.4479px; border-top: none;\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 49.4479px;\"\u003eDirectX 12, Shader Model 6.7, OpenGL 4.6, Vulkan 1.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eCompute APIs\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eCUDA 12.8, OpenCL 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003eChina\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.3229px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.3229px; border-top: none;\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.3229px;\"\u003e0.45 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 25.375px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" style=\"height: 25.375px; border-top: none;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" style=\"border-top: none; border-left: none; height: 25.375px;\"\u003e3 Years Limited Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":52342947414319,"sku":"900-5G-195-2551-000","price":169999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_RTX_PRO_2000_Blackwell_16GB_GDDR7_Professional_Workstation_GPU-tpstech.in.webp?v=1767764437"},{"product_id":"pny-rtx-pro-4500-blackwell","title":"PNY NVIDIA RTX PRO 4500 Blackwell 32GB GDDR7 ECC Workstation Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔥 \u003cstrong\u003eNext‑Gen Blackwell Architecture\u003c\/strong\u003e – Designed for exceptional rendering, AI acceleration, and high‑end professional workflows.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003eMassive 32GB GDDR7 ECC Memory\u003c\/strong\u003e – Ensures fast performance and maximum stability for complex workloads and large datasets.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e – Supports advanced multi‑display setups and ultra‑high‑resolution visuals up to 8K.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003eSuperior AI \u0026amp; 3D Performance\u003c\/strong\u003e – Equipped with advanced Tensor and RT cores for neural rendering and photorealistic graphics.\u003cbr\u003e\u003cbr\u003e🧊 \u003cstrong\u003eEfficient Dual‑Slot Blower Cooling\u003c\/strong\u003e – Provides consistent thermal efficiency ideal for workstation chassis.\u003cbr\u003e\u003cbr\u003e🔧 \u003cstrong\u003ePCIe 5.0 x16 Support\u003c\/strong\u003e – Enables high‑bandwidth connectivity for demanding creative, engineering, and simulation workflows.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 4500 Blackwell GPU delivers powerful performance for AI, 3D rendering, engineering, and simulation tasks. With 10,496 CUDA cores and 32GB of ultra‑fast GDDR7 ECC memory, it handles complex workloads with ease. Its Blackwell architecture ensures next‑generation acceleration and reliability, while PCIe 5.0 connectivity and four DisplayPort 2.1 outputs support advanced multi‑display workstations. Built with a blower‑style cooler, this GPU offers stable, efficient performance for modern professional environments.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable height=\"926\" style=\"border-collapse: collapse; width: 536px;\" width=\"377\"\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 241.5px;\" width=\"161\"\u003e\n\u003ccol style=\"width: 294.5px;\" width=\"216\"\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"width: 121pt; height: 17.25pt;\" class=\"xl1049\" height=\"23\" width=\"161\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 162pt;\" class=\"xl1049\" width=\"216\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 21.0pt;\" height=\"28\"\u003e\n\u003ctd style=\"height: 21.0pt;\" class=\"xl1049\" height=\"28\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e45.6 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 18.75pt;\" height=\"25\"\u003e\n\u003ctd style=\"height: 18.75pt;\" class=\"xl1049\" height=\"25\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e378 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e10,496\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.75pt;\" height=\"21\"\u003e\n\u003ctd style=\"height: 15.75pt;\" class=\"xl1049\" height=\"21\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e328\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e82\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e32 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e256‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e896 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e200W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4 × DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4.4” H × 10.5” L, FHFL Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1.070 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eNVIDIA 3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1 × PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eNVENC \/ NVDEC \/ JPEG\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e2× NVENC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":54100452081967,"sku":"VCNRTXPRO4500B-PB","price":699998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_RTX_PRO_4500_Blackwell_32GB_GDDR7_ECC_Workstation_Graphics_Card-tpstech.in.webp?v=1770802503"},{"product_id":"pny-rtx-pro-4000-blackwell-24gb","title":"PNY NVIDIA RTX PRO 4000 Blackwell Low Profile24GB GDDR7 ECC Single‑Slot Workstation Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cp\u003e🔥 \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for breakthrough AI acceleration, neural rendering, and next‑generation professional graphics performance.\u003c\/p\u003e\n\u003cp\u003e🚀 \u003cstrong\u003e24GB GDDR7 ECC Memory\u003c\/strong\u003e delivers ultra‑fast throughput for large datasets, complex simulations, and advanced AI workflows.\u003c\/p\u003e\n\u003cp\u003e🎯 \u003cstrong\u003e8960 CUDA Cores\u003c\/strong\u003e optimized for demanding 3D visualization, engineering applications, and compute‑intensive tasks.\u003c\/p\u003e\n\u003cp\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e support high‑resolution multi‑display setups, including up to 8K workflows.\u003c\/p\u003e\n\u003cp\u003e🧊 \u003cstrong\u003eSingle‑Slot Professional Design\u003c\/strong\u003e ensures powerful performance while maintaining compatibility with compact workstation builds.\u003c\/p\u003e\n\u003cp\u003e⚡ \u003cstrong\u003ePCIe 5.0 Interface\u003c\/strong\u003e provides high‑bandwidth connectivity ideal for AI, rendering, and professional content creation.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 4000 Blackwell brings exceptional performance for AI, rendering, and professional graphics workloads. Featuring 24GB GDDR7 ECC memory and 8960 CUDA cores, it excels in engineering, 3D design, VR, and simulation environments. Its efficient single‑slot design fits compact workstations, while four DisplayPort 2.1 outputs support ultra‑high‑resolution multi‑display setups. Built on advanced Blackwell architecture, this GPU delivers powerful efficiency, faster compute performance, and reliable productivity for modern professional workflows.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable height=\"773\" style=\"border-collapse: collapse; width: 550px;\" width=\"377\"\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 248.5px;\" width=\"161\"\u003e\n\u003ccol style=\"width: 301.5px;\" width=\"216\"\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"width: 121pt; height: 17.25pt;\" class=\"xl1049\" height=\"23\" width=\"161\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 162pt;\" class=\"xl1049\" width=\"216\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 21.0pt;\" height=\"28\"\u003e\n\u003ctd style=\"height: 21.0pt;\" class=\"xl1049\" height=\"28\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e45.6 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 18.75pt;\" height=\"25\"\u003e\n\u003ctd style=\"height: 18.75pt;\" class=\"xl1049\" height=\"25\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e378 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e8960\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.75pt;\" height=\"21\"\u003e\n\u003ctd style=\"height: 15.75pt;\" class=\"xl1049\" height=\"21\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e280\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e70\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e24 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e192‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e140W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4× DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4.4\" H × 9.5\" L, FHML Single Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e0.554 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003e3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eCompatible (NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1× PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eNVENC \/ NVDEC \/ JPEG\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e2× \/ 2× \/ 1×\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54100930920751,"sku":"VCNRTXPRO4000LP-SB","price":199998.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_4000_Blackwell_24GB_GDDR7_ECC_Single_Slot_Workstation_Graphics_Card-tpstech.in.webp?v=1770803513"},{"product_id":"pny-nvidia-rtx-pro-4000-blackwell-24gb-gddr7-ecc-single-slot-workstation-graphics-card","title":"PNY NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 ECC Single‑Slot Workstation Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cp\u003e🔥 \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for breakthrough AI acceleration, neural rendering, and next‑generation professional graphics performance.\u003c\/p\u003e\n\u003cp\u003e🚀 \u003cstrong\u003e24GB GDDR7 ECC Memory\u003c\/strong\u003e delivers ultra‑fast throughput for large datasets, complex simulations, and advanced AI workflows.\u003c\/p\u003e\n\u003cp\u003e🎯 \u003cstrong\u003e8960 CUDA Cores\u003c\/strong\u003e optimized for demanding 3D visualization, engineering applications, and compute‑intensive tasks.\u003c\/p\u003e\n\u003cp\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e support high‑resolution multi‑display setups, including up to 8K workflows.\u003c\/p\u003e\n\u003cp\u003e🧊 \u003cstrong\u003eSingle‑Slot Professional Design\u003c\/strong\u003e ensures powerful performance while maintaining compatibility with compact workstation builds.\u003c\/p\u003e\n\u003cp\u003e⚡ \u003cstrong\u003ePCIe 5.0 Interface\u003c\/strong\u003e provides high‑bandwidth connectivity ideal for AI, rendering, and professional content creation.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 4000 Blackwell brings exceptional performance for AI, rendering, and professional graphics workloads. Featuring 24GB GDDR7 ECC memory and 8960 CUDA cores, it excels in engineering, 3D design, VR, and simulation environments. Its efficient single‑slot design fits compact workstations, while four DisplayPort 2.1 outputs support ultra‑high‑resolution multi‑display setups. Built on advanced Blackwell architecture, this GPU delivers powerful efficiency, faster compute performance, and reliable productivity for modern professional workflows.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable height=\"773\" style=\"border-collapse: collapse; width: 550px;\" width=\"377\"\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 248.5px;\" width=\"161\"\u003e\n\u003ccol style=\"width: 301.5px;\" width=\"216\"\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"width: 121pt; height: 17.25pt;\" class=\"xl1049\" height=\"23\" width=\"161\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 162pt;\" class=\"xl1049\" width=\"216\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 21.0pt;\" height=\"28\"\u003e\n\u003ctd style=\"height: 21.0pt;\" class=\"xl1049\" height=\"28\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e45.6 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 18.75pt;\" height=\"25\"\u003e\n\u003ctd style=\"height: 18.75pt;\" class=\"xl1049\" height=\"25\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e378 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e8960\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.75pt;\" height=\"21\"\u003e\n\u003ctd style=\"height: 15.75pt;\" class=\"xl1049\" height=\"21\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e280\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 17.25pt;\" height=\"23\"\u003e\n\u003ctd style=\"height: 17.25pt;\" class=\"xl1049\" height=\"23\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e70\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 16.5pt;\" height=\"22\"\u003e\n\u003ctd style=\"height: 16.5pt;\" class=\"xl1049\" height=\"22\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e24 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e192‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e140W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4× DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4.4\" H × 9.5\" L, FHML Single Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e0.554 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003e3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eCompatible (NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1× PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eNVENC \/ NVDEC \/ JPEG\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e2× \/ 2× \/ 1×\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 15.0pt;\" height=\"20\"\u003e\n\u003ctd style=\"height: 15.0pt;\" class=\"xl1049\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54115454484783,"sku":"VCNRTXPRO4000-SB","price":325998.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_4000_Blackwell_24GB_GDDR7_ECC_Single_Slot_Workstation_Graphics_Card-tpstech.in.webp?v=1770803513"},{"product_id":"pny-rtx-pro-2000-blackwell-16gb-gddr7","title":"PNY NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 Professional Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e⭐ \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for advanced AI acceleration, neural shaders, and cutting‑edge professional graphics performance.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003e16GB Ultra‑Fast GDDR7 ECC Memory\u003c\/strong\u003e ensures smooth multi‑application workflows, high‑precision rendering, and improved AI processing efficiency.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003e4352 CUDA Cores with 5th‑Gen Tensor Cores\u003c\/strong\u003e deliver exceptional AI, compute, and content‑creation performance for demanding workloads.\u003cbr\u003e\u003cbr\u003e🎨 \u003cstrong\u003e4th‑Gen Ray Tracing Cores\u003c\/strong\u003e provide doubled ray‑tracing performance for photorealistic visuals and immersive 3D design environments.\u003cbr\u003e\u003cbr\u003e🧩 \u003cstrong\u003eCompact, Power‑Efficient 70W Dual‑Slot Design\u003c\/strong\u003e ideal for SFF workstations while maintaining top‑tier professional GPU capability.\u003cbr\u003e\u003cbr\u003e🔌 \u003cstrong\u003e4× Mini DisplayPort 2.1b Outputs\u003c\/strong\u003e enable high‑resolution multi‑monitor setups, supporting next‑generation 8K and 16K displays.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 2000 Blackwell is a compact, power‑efficient professional GPU built for next‑generation AI and graphics workflows. Equipped with 16GB GDDR7 ECC memory, 4352 CUDA cores, next‑gen Tensor and RT cores, it delivers outstanding compute, rendering, and visualization performance for creators, engineers, and AI developers. Its dual‑slot 70W design fits seamlessly into small‑form‑factor workstations, while four mini DisplayPort 2.1b outputs enable ultra‑high‑resolution multi‑display setups for modern productivity.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable height=\"732\" style=\"border-collapse: collapse; width: 549px; height: 683.844px;\" width=\"409\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\"\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 228px;\" width=\"158\"\u003e \u003ccol style=\"width: 320px;\" width=\"251\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 38.4375px;\" height=\"26\"\u003e\n\u003ctd style=\"height: 38.4375px; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"26\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 189pt; height: 38.4375px;\" width=\"251\" class=\"xl65\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003eBlackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 32.5625px;\" height=\"22\"\u003e\n\u003ctd style=\"height: 32.5625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"22\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 32.5625px;\" width=\"251\" class=\"xl66\"\u003e4,352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e545 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 40.9896px;\" height=\"39\"\u003e\n\u003ctd style=\"height: 40.9896px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"39\"\u003eSingle‑Precision Performance\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 40.9896px;\" width=\"251\" class=\"xl64\"\u003e17 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e52 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e16 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e128‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e288 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003ePCIe 5.0 x8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e4 × mini DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 57.9896px;\" height=\"39\"\u003e\n\u003ctd style=\"height: 57.9896px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"39\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 57.9896px;\" width=\"251\" class=\"xl64\"\u003eUp to 4 displays\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 40.9896px;\" height=\"39\"\u003e\n\u003ctd style=\"height: 40.9896px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"39\"\u003eVideo Engines\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 40.9896px;\" width=\"251\" class=\"xl64\"\u003e1× NVENC (9th Gen), 1× NVDEC (6th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003eMax 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.625px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.625px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.625px;\" width=\"251\" class=\"xl64\"\u003e2.7” H × 6.6” L, Dual‑slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 57.9896px;\" height=\"39\"\u003e\n\u003ctd style=\"height: 57.9896px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"39\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 57.9896px;\" width=\"251\" class=\"xl64\"\u003eDirectX 12, Shader Model 6.7, OpenGL 4.6, Vulkan 1.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.7604px;\" height=\"20\"\u003e\n\u003ctd style=\"height: 29.7604px; border-top: none; width: 119pt;\" width=\"158\" class=\"xl63\" height=\"20\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"border-top: none; border-left: none; width: 189pt; height: 29.7604px;\" width=\"251\" class=\"xl64\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54182453215535,"sku":"VCNRTXPRO2000-PB","price":189999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_2000_Blackwell_16GB_GDDR7_Professional_Graphics_Card-tpstech.in.webp?v=1770958148"},{"product_id":"pny-rtx-pro-5000-blackwell-48gb","title":"PNY NVIDIA RTX PRO 5000 Blackwell 48GB GDDR7 ECC Workstation Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🎯 \u003cstrong\u003ePowered by Blackwell Architecture\u003c\/strong\u003e for breakthrough AI, rendering, simulation, and next‑gen graphics performance.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003e48GB ECC GDDR7 Memory\u003c\/strong\u003e delivers ultra‑fast throughput and rock‑solid reliability for mission‑critical workflows.\u003cbr\u003e\u003cbr\u003e🧠 \u003cstrong\u003e14,080 CUDA Cores\u003c\/strong\u003e accelerate AI processing, simulations, and heavy 3D rendering tasks.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e enable high‑resolution, multi‑monitor professional setups.\u003cbr\u003e\u003cbr\u003e🔌 \u003cstrong\u003ePCIe 5.0 x16 Interface\u003c\/strong\u003e ensures maximum bandwidth for demanding workstation workloads.\u003cbr\u003e\u003cbr\u003e❄️ \u003cstrong\u003eDual‑Slot Blower Cooling\u003c\/strong\u003e maintains ideal thermals during sustained high‑performance operations.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 5000 Blackwell is a powerful workstation GPU designed for advanced AI, simulation, and rendering workloads. With the latest Blackwell architecture and 48GB ECC GDDR7 memory, it delivers exceptional speed, stability, and compute efficiency. Its 14,080 CUDA cores, PCIe 5.0 bandwidth, and four DisplayPort 2.1 outputs support high‑resolution multi‑display workflows. The efficient dual‑slot blower design ensures reliable cooling, making it perfect for creators, engineers, data scientists, and professionals tackling heavy computational tasks.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"409\" style=\"border-collapse: collapse; width: 558px; height: 848.666px;\" height=\"862\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"158\" style=\"width: 232.5px;\"\u003e \u003ccol width=\"251\" style=\"width: 324.5px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"22\" style=\"height: 34.8438px;\"\u003e\n\u003ctd height=\"22\" class=\"xl65\" width=\"158\" style=\"height: 34.8438px; width: 119pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl65\" width=\"251\" style=\"border-left: none; width: 189pt; height: 34.8438px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 62px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 62px; border-top: none; width: 119pt;\"\u003ePNY Part Numbers\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 62px;\"\u003eVCNRTXPRO5000B-PB\u003cbr\u003eVCNRTXPRO5000B-BLK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e92.2 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e750 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 31.7708px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 31.7708px; border-top: none; width: 119pt;\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"xl67\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.7708px;\"\u003e14,080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e440\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e110\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e48 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e384‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e1344 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e300W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 32.8958px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 32.8958px; border-top: none; width: 119pt;\"\u003eMulti‑Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 32.8958px;\"\u003eUp to 2× 24GB, Up to 1× 48GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e4 × DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e4.4” H × 10.5” L, FHFL Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e1.219 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 45px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 45px; border-top: none; width: 119pt;\"\u003eNVIDIA 3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 45px;\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.6979px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.6979px; border-top: none; width: 119pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.6979px;\"\u003e1 × PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 39.6146px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 39.6146px; border-top: none; width: 119pt;\"\u003eNVENC \/ NVDEC \/ JPEG Engines\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 39.6146px;\"\u003e3× NVENC, 3× NVDEC, 1× JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.9792px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.9792px; border-top: none; width: 119pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.9792px;\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54182775587119,"sku":"VCNRTXPRO5000B-PB","price":869998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_5000_Blackwell_48GB_GDDR7_ECC_Workstation_Graphics_Card-tpstech.in.webp?v=1770958790"},{"product_id":"pny-rtx-pro-5000-blackwell-72gb","title":"PNY NVIDIA RTX PRO 5000 Blackwell 72GB GDDR7 Professional Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔥 \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for next‑gen AI, graphics, and ultra‑realistic rendering.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003e72GB High‑Speed GDDR7 ECC Memory\u003c\/strong\u003e supports heavy engineering, 3D, and multi‑app workflows.\u003cbr\u003e\u003cbr\u003e🧠 \u003cstrong\u003e14080 CUDA Cores with Tensor \u0026amp; RT Cores\u003c\/strong\u003e deliver exceptional AI, simulation, and rendering performance.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e enable multi‑monitor, high‑resolution professional setups.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003ePCIe 5.0 x16 Interface\u003c\/strong\u003e ensures maximum data throughput for workstation‑level productivity.\u003cbr\u003e\u003cbr\u003e🧊 \u003cstrong\u003e300W Dual‑Slot Cooling\u003c\/strong\u003e maintains stability during intensive workloads.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 5000 Blackwell is engineered for advanced AI, 3D rendering, and professional simulation workloads. Equipped with 72GB of ultra‑fast GDDR7 ECC memory and 14080 CUDA cores, it delivers exceptional speed, stability, and multitasking performance. Its next‑gen Blackwell architecture accelerates creative, engineering, and scientific workflows with remarkable efficiency. With PCIe 5.0 support and four DisplayPort 2.1 outputs, this GPU is built for demanding creators, developers, and engineers who need uncompromised workstation power.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"409\" style=\"border-collapse: collapse; width: 553px; height: 925px;\" height=\"854\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"158\" style=\"width: 230px;\"\u003e \u003ccol width=\"251\" style=\"width: 322px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; width: 119pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl65\" width=\"251\" style=\"border-left: none; width: 189pt; height: 31.0729px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 45.7917px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 45.7917px; border-top: none; width: 119pt;\"\u003ePNY Part Numbers\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 45.7917px;\"\u003eVCNRTXPRO5000B-PB \u003cbr\u003eVCNRTXPRO5000B-BLK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e92.2 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e750 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd class=\"xl67\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e14,080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e440\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e110\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e72 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e384-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e1344 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e300W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 42.7917px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 42.7917px; border-top: none; width: 119pt;\"\u003eMulti‑Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 42.7917px;\"\u003eUp to 2× 24GB, Up to 1× 72GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; 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border-top: none; width: 119pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003e3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e1× PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.0729px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.0729px; border-top: none; width: 119pt;\"\u003eNVENC \/ NVDEC \/ JPEG\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.0729px;\"\u003e3× \/ 3× \/ 1×\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 31.25px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 31.25px; border-top: none; width: 119pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 31.25px;\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54182984548655,"sku":"VCNRTXPRO5000B72-PB","price":789899.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_5000_Blackwell_72GB_GDDR7_Professional_Graphics_Card-tpstech.in.webp?v=1770959408"},{"product_id":"pny-rtx-pro-6000-blackwell-max-q-96gb","title":"PNY NVIDIA RTX PRO 6000 Blackwell Max‑Q 96GB GDDR7 ECC Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔥 \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for next‑gen AI, rendering \u0026amp; simulation performance.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003eMassive 96GB GDDR7 ECC Memory\u003c\/strong\u003e ensures smooth handling of complex datasets \u0026amp; enterprise workloads.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003e24,064 CUDA Cores with 752 Tensor Cores\u003c\/strong\u003e boost AI, ML, and compute acceleration.\u003cbr\u003e\u003cbr\u003e🎮 \u003cstrong\u003eAdvanced Ray Tracing Cores\u003c\/strong\u003e deliver exceptional visualization for engineering, VFX \u0026amp; 3D pipelines.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003e4× DisplayPort 2.1 Outputs\u003c\/strong\u003e support high‑resolution, multi‑display professional setups.\u003cbr\u003e\u003cbr\u003e❄️ \u003cstrong\u003eEfficient Dual‑Slot Active Cooling\u003c\/strong\u003e maintains stable performance under continuous workloads.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 6000 Blackwell Max‑Q is a next‑generation workstation GPU engineered for AI, engineering, VFX, and scientific computing. With 96GB GDDR7 ECC memory and 24,064 CUDA cores, it delivers outstanding acceleration for massive datasets, ray tracing, and advanced simulations. Its Blackwell architecture ensures top‑tier compute efficiency, while four DisplayPort 2.1 outputs enable high‑resolution, multi‑display workflows. Designed for reliability and demanding professional environments, it powers seamless productivity and cutting‑edge performance.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"409\" style=\"border-collapse: collapse; width: 565px; height: 917px;\" height=\"863\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"158\" style=\"width: 236.5px;\"\u003e \u003ccol width=\"251\" style=\"width: 328.5px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; width: 119pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl65\" width=\"251\" style=\"border-left: none; width: 189pt; height: 28.2708px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 55.3646px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 55.3646px; border-top: none; width: 119pt;\"\u003ePNY Part Numbers\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 55.3646px;\"\u003eVCNRTXPRO6000BQ-PB \u003cbr\u003eVCNRTXPRO6000BQ-BLK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e92.2 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e750 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 33.3646px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 33.3646px; border-top: none; width: 119pt;\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"xl67\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 33.3646px;\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e752\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e188\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e512‑bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e1792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e300W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 27.6979px;\"\u003e\n\u003ctd rowspan=\"3\" height=\"58\" class=\"xl68\" width=\"158\" style=\"border-bottom: 1pt solid rgb(230, 230, 230); height: 83.6666px; border-top: none; width: 119pt;\"\u003eMulti‑Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd class=\"xl69\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.6979px;\"\u003eUp to 4× 24GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 27.6979px;\"\u003e\n\u003ctd height=\"19\" class=\"xl71\" width=\"251\" style=\"height: 27.6979px; border-left: none; width: 189pt;\"\u003eUp to 2× 48GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl73\" width=\"251\" style=\"height: 28.2708px; border-left: none; width: 189pt;\"\u003eUp to 1× 96GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.4167px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.4167px; border-top: none; width: 119pt;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.4167px;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e4 × DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e4.4” H × 10.5” L, FHFL Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e1.23 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 38.3646px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 38.3646px; border-top: none; width: 119pt;\"\u003eNVIDIA 3D Vision \u0026amp; 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 38.3646px;\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003e1× PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.2708px;\"\u003e\n\u003ctd height=\"20\" class=\"xl66\" width=\"158\" style=\"height: 28.2708px; border-top: none; width: 119pt;\"\u003e**NVENC\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.2708px;\"\u003eNVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.4375px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.4375px; border-top: none; width: 119pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.4375px;\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54183203373359,"sku":"VCNRTXPRO6000BQ-PB","price":1489998.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_6000_Blackwell_Max_Q_96GB_GDDR7_ECC_Graphics_Card-tpstech.in.webp?v=1770960094"},{"product_id":"pny-nvidia-rtx-pro-6000-blackwell-96gb-gddr7","title":"PNY NVIDIA RTX PRO 6000 Blackwell 96GB GDDR7 Workstation GPU","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🔥 \u003cstrong\u003ePowered by NVIDIA Blackwell Architecture\u003c\/strong\u003e for next‑generation AI, rendering, and compute performance.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003eEquipped with 96GB ultra‑fast GDDR7 ECC memory\u003c\/strong\u003e for handling massive datasets and heavy workflows.\u003cbr\u003e\u003cbr\u003e🎮 \u003cstrong\u003e24,064 CUDA cores\u003c\/strong\u003e deliver extreme parallel compute acceleration for professional applications.\u003cbr\u003e\u003cbr\u003e🖥️ \u003cstrong\u003eSupports 4× DisplayPort 2.1 outputs\u003c\/strong\u003e for ultra‑high‑resolution and multi‑display setups.\u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003eHigh‑bandwidth PCIe 5.0 x16 interface\u003c\/strong\u003e ensures maximum data throughput and workstation responsiveness.\u003cbr\u003e\u003cbr\u003e❄️ \u003cstrong\u003e600W power design with advanced cooling\u003c\/strong\u003e allows sustained performance under demanding workloads.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe PNY NVIDIA RTX PRO 6000 Blackwell Workstation GPU delivers cutting‑edge performance for AI development, 3D rendering, engineering simulations, and complex content creation. Built on the advanced Blackwell architecture, it features 96GB ECC GDDR7 memory, 24,064 CUDA cores, and PCIe 5.0 for exceptional speed and efficiency. With four DisplayPort 2.1 outputs and a robust 600W thermal design, it provides industry‑leading computational power and reliability for high‑end professional workflows.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"409\" style=\"border-collapse: collapse; width: 554px; height: 1049px;\" height=\"878\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"158\" style=\"width: 230.5px;\"\u003e \u003ccol width=\"251\" style=\"width: 322.5px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; width: 119pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl67\" width=\"251\" style=\"width: 189pt; height: 27.8021px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 54.4375px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 54.4375px; border-top: none; width: 119pt;\"\u003ePNY Part Numbers\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-left: none; width: 189pt; height: 54.4375px;\"\u003eVCNRTXPRO6000B-PB \u003cbr\u003eVCNRTXPRO6000B-BLK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eTransistors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e92.2 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e750 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd class=\"xl68\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e752\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e188\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 25.4375px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 25.4375px; border-top: none; width: 119pt;\"\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 25.4375px;\"\u003e125 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e4000 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e380 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e1792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e600W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 33.4375px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 33.4375px; border-top: none; width: 119pt;\"\u003eMulti-Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 33.4375px;\"\u003eUp to 4× 24GB \/ 2× 48GB \/ 1× 96GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e4 × DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e5.4” H × 12” L, XHFL Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e1.950 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003eDouble Flow Through\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003e3D Vision \/ 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003eSupported via 3‑pin Mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e1 × PCIe CEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.8021px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.8021px; border-top: none; width: 119pt;\"\u003eNVENC \/ NVDEC \/ JPEG\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.8021px;\"\u003e4× \/ 4× \/ 4×\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 28.0625px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 28.0625px; border-top: none; width: 119pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 28.0625px;\"\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"PNY","offers":[{"title":"Default Title","offer_id":54183744962863,"sku":"VCNRTXPRO6000B-PB","price":1999998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_RTX_PRO_6000_Blackwell_96GB_GDDR7_Workstation_GPU-tpstech.in.webp?v=1770961066"},{"product_id":"asus-ascent-gx10-ai-supercomputer","title":"ASUS Ascent GX10 DGX SPARK Desktop AI PC - NVIDIA GB10 Blackwell, 128GB DDR5 RAM, 2TB SSD, WiFi 7","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e🚀 \u003cstrong\u003eUltra‑Powerful AI Performance\u003c\/strong\u003e – Powered by NVIDIA GB10 Grace Blackwell architecture for next‑gen AI workloads.\u003cbr\u003e\u003cbr\u003e🧠 \u003cstrong\u003e128GB LPDDR5x Unified Memory\u003c\/strong\u003e – Designed for heavy AI model training, fine‑tuning, and inference.\u003cbr\u003e\u003cbr\u003e⚡ \u003cstrong\u003eBlazing‑Fast Storage\u003c\/strong\u003e – Equipped with high‑speed 1TB NVMe PCIe SSD for rapid data access.\u003cbr\u003e\u003cbr\u003e🌐 \u003cstrong\u003eWiFi 7 \u0026amp; 10G LAN Connectivity\u003c\/strong\u003e – Ensures ultra‑low‑latency networking for seamless AI operations.\u003cbr\u003e\u003cbr\u003e🔗 \u003cstrong\u003eAdvanced I\/O with USB Type‑C\u003c\/strong\u003e – Multiple 20Gbps USB‑C ports supporting DisplayPort 2.1.\u003cbr\u003e\u003cbr\u003e🧩 \u003cstrong\u003eCompact Ultra‑Small Form Factor\u003c\/strong\u003e – Space‑efficient 150mm square chassis ideal for desktops and labs.\u003cbr\u003e\u003cbr\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe ASUS Ascent GX10 is a compact AI supercomputer engineered for developers, researchers, and data‑driven creators. Featuring the NVIDIA GB10 Grace Blackwell architecture, it delivers exceptional computational power in an ultra‑small form factor. With 128GB unified LPDDR5x memory, high‑speed NVMe storage, WiFi 7, and 10G networking, it ensures unmatched performance for training, inference, and advanced AI workflows. Designed for efficiency and reliability, the GX10 brings supercomputer‑grade capability directly to your desktop.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"409\" style=\"border-collapse: collapse; width: 556px; height: 791.136px;\" height=\"846\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"158\" style=\"width: 210px;\"\u003e \u003ccol width=\"251\" style=\"width: 346px;\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; width: 119pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"xl65\" width=\"251\" style=\"border-left: none; width: 189pt; height: 27px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eModel\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eASUS Ascent GX10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eUbuntu Linux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eARM v9.2‑A CPU (GB10)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eChipset\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eIntegrated\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eGraphics\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eNVIDIA Blackwell GPU (GB10, Integrated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003e128GB LPDDR5x Unified System Memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 26.4688px;\"\u003e\n\u003ctd rowspan=\"3\" height=\"58\" class=\"xl67\" width=\"158\" style=\"border-bottom: 1pt solid rgb(230, 230, 230); height: 79.9376px; border-top: none; width: 119pt;\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"xl68\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 26.4688px;\"\u003e1TB M.2 NVMe PCIe 4.0 SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 26.4688px;\"\u003e\n\u003ctd height=\"19\" class=\"xl70\" width=\"251\" style=\"height: 26.4688px; border-left: none; width: 189pt;\"\u003e2TB M.2 NVMe PCIe 4.0 SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl72\" width=\"251\" style=\"height: 27px; border-left: none; width: 189pt;\"\u003e4TB M.2 NVMe PCIe 4.0 SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 53px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 53px; border-top: none; width: 119pt;\"\u003eWireless Network\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 53px;\"\u003eAW‑EM637 Wi‑Fi 7 (Gig+), Bluetooth 5.4 (2×2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eLAN\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003e10G Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eFront (Side) I\/O Ports\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003e1 × Power Button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 51.1146px;\"\u003e\n\u003ctd rowspan=\"6\" height=\"155\" class=\"xl67\" width=\"158\" style=\"border-bottom: 1pt solid rgb(230, 230, 230); height: 210.219px; border-top: none; width: 119pt;\"\u003eBack I\/O Ports\u003c\/td\u003e\n\u003ctd class=\"xl68\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 51.1146px;\"\u003e3 × USB 3.2 Gen 2x2 Type‑C (20Gbps, DP 2.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 52.6979px;\"\u003e\n\u003ctd height=\"39\" class=\"xl70\" width=\"251\" style=\"height: 52.6979px; border-left: none; width: 189pt;\"\u003e1 × USB 3.2 Gen 2x2 Type‑C with PD‑In (180W EPR PD3.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 26.4688px;\"\u003e\n\u003ctd height=\"19\" class=\"xl70\" width=\"251\" style=\"height: 26.4688px; border-left: none; width: 189pt;\"\u003e1 × HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 26.4688px;\"\u003e\n\u003ctd height=\"19\" class=\"xl70\" width=\"251\" style=\"height: 26.4688px; border-left: none; width: 189pt;\"\u003e1 × NVIDIA ConnectX‑7 SmartNIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"19\" style=\"height: 26.4688px;\"\u003e\n\u003ctd height=\"19\" class=\"xl70\" width=\"251\" style=\"height: 26.4688px; border-left: none; width: 189pt;\"\u003e1 × 10G LAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl72\" width=\"251\" style=\"height: 27px; border-left: none; width: 189pt;\"\u003e1 × Kensington Lock\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.125px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.125px; border-top: none; width: 119pt;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.125px;\"\u003e240W Adapter, Power Cord\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eDimensions (W × D × H)\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003e150 × 150 × 51 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eWeight\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003e1.48 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27px; border-top: none; width: 119pt;\"\u003eColor\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27px;\"\u003eStellar Grey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 35.8958px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 35.8958px; border-top: none; width: 119pt;\"\u003eAccessories\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 35.8958px;\"\u003eAC Adapter, Power Cord, User Manual, Warranty Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"39\" style=\"height: 33.8958px;\"\u003e\n\u003ctd height=\"39\" class=\"xl65\" width=\"158\" style=\"height: 33.8958px; border-top: none; width: 119pt;\"\u003eCertificates\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 33.8958px;\"\u003eBSMI, CB, CE, FCC, UL, CCC, C‑Tick, WiFi, RF, VCCI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 27.0625px;\"\u003e\n\u003ctd height=\"20\" class=\"xl65\" width=\"158\" style=\"height: 27.0625px; border-top: none; width: 119pt;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd class=\"xl66\" width=\"251\" style=\"border-top: none; border-left: none; width: 189pt; height: 27.0625px;\"\u003e1 Year\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":54185215918383,"sku":"ASUS-Ascent-GX10","price":586997.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/ASUS_Ascent_GX10_AI_Supercomputer_with_NVIDIA_GB10_Grace_Blackwell_128GB_LPDDR5x_1TB_PCIe_4_SSD_WiFi_7-tpstech.in.webp?v=1770963717"},{"product_id":"msi-edgexpert-ms-c931-4tb","title":"MSI EdgeXpert MS‑C931 AI Supercomputer ARM 20‑Core CPU NVIDIA Blackwell Architecture 128GB LPDDR5X Unified Memory 4TB NVMe SSD Wi‑Fi 7 Bluetooth 5.3","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e⚡ \u003cstrong\u003e20‑Core ARM CPU + NVIDIA Blackwell GPU\u003c\/strong\u003e delivering extreme AI performance for advanced workloads. \u003cbr\u003e\u003cbr\u003e🔥 \u003cstrong\u003eUp to 1000 AI TOPS (FP4)\u003c\/strong\u003e enabling fast LLM inference, training \u0026amp; simulation. \u003cbr\u003e\u003cbr\u003e🚀 \u003cstrong\u003e128GB LPDDR5X Unified Memory\u003c\/strong\u003e ensures seamless CPU‑GPU data flow for heavy AI tasks. \u003cbr\u003e\u003cbr\u003e💾 \u003cstrong\u003e4TB NVMe M.2 Self‑Encrypting SSD\u003c\/strong\u003e for ultra‑fast storage and high‑capacity datasets. \u003cbr\u003e\u003cbr\u003e📡 \u003cstrong\u003eWi‑Fi 7, Bluetooth 5.3 \u0026amp; Dual 10GbE LAN\u003c\/strong\u003e for next‑gen connectivity and enterprise networking. \u003cbr\u003e\u003cbr\u003e🧊 \u003cstrong\u003eCompact 1.19L Chassis\u003c\/strong\u003e with advanced architecture built for developers, researchers \u0026amp; edge AI labs.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003eThe MSI EdgeXpert MS‑C931 is a compact AI supercomputer powered by a 20‑core ARM processor and NVIDIA Blackwell GPU architecture, delivering up to 1000 AI TOPS for demanding workloads. With 128GB unified LPDDR5X memory, dual 10GbE networking, Wi‑Fi 7, and a high‑speed 4TB NVMe SSD, it is engineered for LLM training, real‑time inference, robotics, research, and enterprise AI deployments—all within a desktop‑friendly 1.19‑liter chassis.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable style=\"width: 101.13%; height: 537px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eProcessor\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e20‑core ARM CPU (10× Cortex‑X925 + 10× Cortex‑A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 39.1875px;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 39.1875px;\"\u003eNVIDIA Blackwell Architecture with 6,144 CUDA cores \u0026amp; 5th‑gen Tensor cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eUp to 1000 AI TOPS (FP4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e128GB LPDDR5X unified CPU‑GPU memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e4TB NVMe M.2 SSD (self‑encrypting)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eDual 10GbE LAN, Wi‑Fi 7, Bluetooth 5.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eI\/O Ports\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eMultiple USB 4 (Type‑C), display outputs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e151 × 151 × 52 mm (≈1.19 L volume)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 39.1875px;\"\u003eSupported AI Models\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 39.1875px;\"\u003eUp to 200B locally; up to 405B with dual‑system ConnectX configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003ePart Number\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eEdgeXpert‑11SUS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eCountry of Origin\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003eTaiwan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 28.0749%; height: 19.5938px;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"width: 71.627%; height: 19.5938px;\"\u003e3‑Year Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"MSI","offers":[{"title":"Default Title","offer_id":54985137488175,"sku":"9S6-C9311-65S","price":590998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/1_93435714-e1e2-424a-9bb2-452538fea7d5.webp?v=1773126055"},{"product_id":"nvidia-dgx-spark-ai-workstation","title":"NVIDIA DGX Spark GB10 Grace Blackwell Desktop AI Supercomputer with 128GB Unified Memory 4TB NVME with self-encryption","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e⚡ \u003cstrong\u003eGrace‑Blackwell Superchip Performance\u003c\/strong\u003e – Powered by NVIDIA GB10 delivering up to \u003cstrong\u003e1 PFLOP FP4 AI compute\u003c\/strong\u003e for next‑gen model training. \u003cbr\u003e\u003cbr\u003e🧠 \u003cstrong\u003e128GB Unified LPDDR5X Memory\u003c\/strong\u003e – Seamless CPU‑GPU memory pooling enables running models up to \u003cstrong\u003e200B parameters\u003c\/strong\u003e locally. \u003cbr\u003e\u003cbr\u003e💻 \u003cstrong\u003eDesktop AI Supercomputer\u003c\/strong\u003e – Compact workstation form factor bringing datacenter‑class AI development to your desk. \u003cbr\u003e\u003cbr\u003e🔗 \u003cstrong\u003eNVLink‑C2C High‑Bandwidth Coherency\u003c\/strong\u003e – 5× PCIe Gen5 bandwidth for accelerated tuning, inference \u0026amp; data orchestration. \u003cbr\u003e\u003cbr\u003e🌐 \u003cstrong\u003eConnectX Networking Support\u003c\/strong\u003e – Link two DGX Sparks to handle \u003cstrong\u003e405B‑parameter models\u003c\/strong\u003e and scale AI workloads. \u003cbr\u003e\u003cbr\u003e🛠️ \u003cstrong\u003eNVIDIA AI Software Stack Pre‑Loaded\u003c\/strong\u003e – DGX OS, PyTorch, Jupyter, Ollama \u0026amp; NIM ready out‑of‑box for frictionless deployment.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003eNVIDIA DGX Spark is a compact desktop AI supercomputer powered by the Grace Blackwell GB10 Superchip, delivering up to 1 PFLOP FP4 performance for advanced AI workflows. With 128GB unified memory and NVLink‑C2C high‑speed coherency, it enables local prototyping, fine‑tuning, and inference of models up to 200B parameters. Preloaded with NVIDIA’s optimized AI software stack, DGX Spark empowers developers, researchers, and enterprises to build, test, and scale next‑generation AI solutions from their desktop.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable height=\"740\" style=\"width: 100.059%; height: 579.983px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e20 core Arm (10 Cortex-X925 + 10 Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eNVIDIA Blackwell Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eTensor Performance\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1 PFLOP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e128 GB LPDDR5x coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eUp to 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e4 TB NVMe M.2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e4x USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1x RJ-45 connector 10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eNIC\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eConnectX-7 NIC @ 200 Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eWiFi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eBluetooth\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eBT 5.4 with LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eAudio-output\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eHDMI multichannel audio output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e240 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eGB10 TDP\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1x HDMI 2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eNVENC\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eNVDEC\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eOS\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eSystem Dimensions\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e150 mm L x 150 mm W x 50.5 mm H\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.2917px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.2917px;\"\u003eSystem Weight\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.2917px;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 22.691px;\"\u003e\n\u003ctd style=\"width: 32.1747%; height: 22.691px;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"width: 67.3472%; height: 22.691px;\"\u003e3 Years by Brand \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":54986326933807,"sku":"NVIDIA-DGX-Spark","price":569998.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_DGX_Spark_GB10_Grace_Blackwell_Desktop_AI_Supercomputer_with_128GB_Unified_Memory-tpstech.in.webp?v=1773128467"},{"product_id":"nvidia-rtx-pro-4500-blackwell-32gb-graphics-card","title":"NVIDIA RTX PRO 4500 Blackwell 32GB GDDR7 Professional Workstation Graphics Card","description":"\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cp\u003e🔷 \u003cstrong\u003eBlackwell Architecture Power: \u003c\/strong\u003eBuilt on NVIDIA Blackwell architecture delivering next‑gen AI, ray tracing, and neural graphics performance\u003c\/p\u003e\n\u003cp\u003e🚀 \u003cstrong\u003e32GB Ultra‑Fast GDDR7 Memory: \u003c\/strong\u003eLarge ECC-enabled 32GB GDDR7 VRAM for complex datasets, simulations, and AI workloads\u003c\/p\u003e\n\u003cp\u003e🤖 \u003cstrong\u003e5th Gen Tensor \u0026amp; 4th Gen RT Cores: \u003c\/strong\u003eAccelerate AI training, neural rendering, and photorealistic ray‑traced workflows\u003c\/p\u003e\n\u003cp\u003e🖥️ \u003cstrong\u003eMulti‑Display Productivity: \u003c\/strong\u003eFour DisplayPort 2.1b outputs for ultra‑high‑resolution, multi‑monitor professional setups\u003c\/p\u003e\n\u003cp\u003e⚙️ \u003cstrong\u003ePCIe Gen 5.0 Interface: \u003c\/strong\u003eNext‑generation bandwidth ensures faster data transfer and future‑ready workstation builds\u003c\/p\u003e\n\u003cp\u003e🛡️ \u003cstrong\u003eEnterprise‑Grade Stability: \u003c\/strong\u003eISV‑certified drivers with NVIDIA RTX PRO reliability for mission‑critical workloads\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe NVIDIA RTX PRO 4500 Blackwell is engineered for professionals who demand extreme performance and reliability. Featuring 32GB ECC GDDR7 memory, Blackwell architecture, and advanced Tensor and Ray Tracing cores, it accelerates AI development, 3D rendering, simulation, and visual computing. With PCIe Gen 5 support and four DisplayPort 2.1b outputs, it delivers enterprise‑grade power, scalability, and stability for modern workstations powering design, engineering, and data science workflows.\u003cbr\u003e\u003cbr\u003e\u003cmeta http-equiv=\"Content-Type\" content=\"text\/html; charset=us-ascii\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e10,496\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1617 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle Precision Performance\u003c\/td\u003e\n\u003ctd\u003e51 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd\u003e153 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e32 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e896 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Interface\u003c\/td\u003e\n\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e4 × DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd\u003e\u0026gt;4 × 3840 × 2160 @ 165 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e\u0026gt;2 × 7680 × 4320 @ 100 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Engines\u003c\/td\u003e\n\u003ctd\u003e2 × NVENC (9th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × NVDEC (6th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eTotal Board Power: 200 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Connector\u003c\/td\u003e\n\u003ctd\u003e1 × PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e4.4 inch × 10.5 inch L, Dual Slot, Full Height\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX 12, Shader Model 6.6, OpenGL 4.63, Vulkan 1.43\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute APIs\u003c\/td\u003e\n\u003ctd\u003eCUDA 12.8, OpenCL 3.0, DirectComputer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":56901524390191,"sku":"RTX PRO 4500","price":589999.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/NVIDIA_RTX_PRO_4500_Blackwell_32GB_GDDR7_Professional_Workstation_Graphics_Card-tpstech.in.webp?v=1776498481"}],"url":"https:\/\/www.tpstech.in\/collections\/nvidia-blackwell.oembed","provider":"tpstech.in","version":"1.0","type":"link"}