{"product_id":"pny-nvidia-a800-40gb-active-gpu","title":"PNY NVIDIA A800 40GB Active HBM2 PCIe 4.0 AI Data Science \u0026 HPC 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\u003cp\u003e🔥 \u003cstrong\u003e40GB Ultra‑Fast HBM2 Memory\u003c\/strong\u003e optimized for large datasets, AI models, and high‑bandwidth workloads.\u003c\/p\u003e\n\u003cp\u003e⚡ \u003cstrong\u003e6912 CUDA Cores \u0026amp; 432 Tensor Cores\u003c\/strong\u003e deliver exceptional performance for AI training, inference, and HPC tasks.\u003c\/p\u003e\n\u003cp\u003e🚀 \u003cstrong\u003ePCIe 4.0 x16 Interface\u003c\/strong\u003e provides rapid data throughput for next‑gen workstation performance.\u003c\/p\u003e\n\u003cp\u003e🔗 \u003cstrong\u003eThird‑Gen NVIDIA NVLink\u003c\/strong\u003e enables scalable multi‑GPU setups with ultra‑high bandwidth.\u003c\/p\u003e\n\u003cp\u003e🌡️ \u003cstrong\u003eActive Cooling Solution\u003c\/strong\u003e ensures efficient thermal control under heavy computational loads.\u003c\/p\u003e\n\u003cp\u003e🧠 \u003cstrong\u003eAI Enterprise Ready\u003c\/strong\u003e with full support for AI development, analytics, and enterprise AI 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\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\u003ePNY NVIDIA A800 40GB Active GPU (VCNA800‑PB)\u003c\/strong\u003e is engineered for demanding AI, data science, and high‑performance computing workloads. Equipped with powerful CUDA and Tensor cores, it accelerates training, inference, and analytics with remarkable efficiency. Its 40GB HBM2 memory and PCIe 4.0 interface ensure smooth throughput for large datasets and complex computations. With advanced cooling and NVLink scalability, the A800 delivers reliable, enterprise‑grade performance for modern AI‑driven workstation environments.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eProduct Specifications:\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable width=\"377\" style=\"border-collapse: collapse; width: 565px;\" height=\"1075\"\u003e\n\u003ccolgroup\u003e\n\u003ccol width=\"161\" style=\"width: 229.5px;\"\u003e\n\u003ccol width=\"216\" style=\"width: 334.5px;\"\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr height=\"23\" style=\"height: 17.25pt;\"\u003e\n\u003ctd width=\"161\" height=\"23\" class=\"xl1049\" style=\"width: 121pt; height: 17.25pt;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd width=\"216\" class=\"xl1049\" style=\"width: 162pt;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003ePNY Part Number\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eVCNA800-PB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"28\" style=\"height: 21.0pt;\"\u003e\n\u003ctd height=\"28\" class=\"xl1049\" style=\"height: 21.0pt;\"\u003eProduct\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNVIDIA A800 40GB Active\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"23\" style=\"height: 17.25pt;\"\u003e\n\u003ctd height=\"23\" class=\"xl1049\" style=\"height: 17.25pt;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd height=\"22\" class=\"xl1049\" style=\"height: 16.5pt;\"\u003eFoundry\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"25\" style=\"height: 18.75pt;\"\u003e\n\u003ctd height=\"25\" class=\"xl1049\" style=\"height: 18.75pt;\"\u003eProcess Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e7 nm NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd height=\"22\" class=\"xl1049\" style=\"height: 16.5pt;\"\u003eDie Size\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e826 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"21\" style=\"height: 15.75pt;\"\u003e\n\u003ctd height=\"21\" class=\"xl1049\" style=\"height: 15.75pt;\"\u003eCUDA® Cores\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e6912\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"23\" style=\"height: 17.25pt;\"\u003e\n\u003ctd height=\"23\" class=\"xl1049\" style=\"height: 17.25pt;\"\u003eStreaming Multiprocessors\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e108\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"22\" style=\"height: 16.5pt;\"\u003e\n\u003ctd height=\"22\" class=\"xl1049\" style=\"height: 16.5pt;\"\u003eTensor Cores (Gen 3)\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e432\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eFP64 Performance\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e9.7 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eFP32 Performance\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e19.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e311.8 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e312 TFLOPS \/ 624 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eFP16 Tensor Core\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e312 TFLOPS \/ 624 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1247.4 TOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eINT4 Tensor Core\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1248 TOPS \/ 2496 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eNVLink Support\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e2-way low profile (2-slot \u0026amp; 3-slot bridges), 400 GB\/s bidirectional\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eNVLink Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e400 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e40GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e5120-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e1555.2 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eMulti‑Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eUp to 7 MIG Instances\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eSystem Interface\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003ePCIe 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eDisplay Support\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eNone (Use companion NVIDIA T1000 or RTX A4000 for video output)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eActive Cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e4.4\" H × 10.5\" L, Dual-Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003eCEM5 16‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\u003eMaximum Power Consumption\u003c\/td\u003e\n\u003ctd class=\"xl1049\"\u003e240W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr height=\"20\" style=\"height: 15.0pt;\"\u003e\n\u003ctd height=\"20\" class=\"xl1049\" style=\"height: 15.0pt;\"\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":54101226848559,"sku":"VCNA800-PB","price":1500000.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1780\/7915\/files\/PNY_NVIDIA_A800_40GB_Active_HBM2_PCIe_4.0_AI_Data_Science_HPC_GPU-tpstech.in.webp?v=1770804090","url":"https:\/\/www.tpstech.in\/products\/pny-nvidia-a800-40gb-active-gpu","provider":"tpstech.in","version":"1.0","type":"link"}