{"product_id":"nvidia-a100-80gb-pcie-gpu-ampere-architecture-with-nvlink-mig-support","title":"NVIDIA A100 80GB PCIe GPU | Ampere Architecture with NVLink \u0026 MIG Support","description":"\u003ch1\u003e\u003cstrong\u003eNVIDIA A100 80GB PCIe GPU – Ampere Architecture for AI, HPC \u0026amp; Data Analytics\u003c\/strong\u003e\u003c\/h1\u003e\n\u003ch2\u003e\u003cstrong\u003eHigh-Performance NVIDIA A100 80GB PCIe GPU for Deep Learning, HPC \u0026amp; Data Center Acceleration \u003cspan style=\"color: rgb(255, 42, 0);\"\u003e(PN: 900-21001-0020-000)\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h2\u003e\n\u003chr\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA A100 80GB PCIe GPU (Part Number: 900-21001-0020-000)\u003c\/strong\u003e delivers next-generation AI acceleration, unmatched performance, and exceptional scalability for modern data centers. Built on the \u003cstrong\u003eNVIDIA Ampere architecture\u003c\/strong\u003e, it provides up to \u003cstrong\u003e80GB of high-bandwidth HBM2e memory\u003c\/strong\u003e and supports \u003cstrong\u003eMulti-Instance GPU (MIG)\u003c\/strong\u003e technology, allowing multiple workloads to run simultaneously with optimal efficiency.\u003c\/p\u003e\n\u003cp\u003eWith \u003cstrong\u003eNVLink\u003c\/strong\u003e, \u003cstrong\u003ePCIe Gen4\u003c\/strong\u003e, and \u003cstrong\u003e2,039 GB\/s of memory bandwidth\u003c\/strong\u003e, the A100 PCIe 80GB GPU empowers demanding AI training, HPC simulations, and data analytics tasks. Designed for data center servers and cloud environments, it offers flexible deployment for both inference and training at scale.\u003c\/p\u003e\n\u003cp\u003eWhether you're powering machine learning models, running deep neural networks, or accelerating scientific computing, the A100 PCIe 80GB GPU is a cornerstone for high-performance, energy-efficient GPU computing.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch3\u003e\n\u003cstrong\u003e📊 Product Specifications: NVIDIA A100 80GB PCIe GPU\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003ca rel=\"noopener\" title=\"NVIDIA A100 80GB PCIe GPU - Specs Sheet\" href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/PB-10577-001_v02.pdf\" target=\"_blank\"\u003eCLICK HERE FOR SPECIFICATIONS SHEET\u003c\/a\u003e\u003ca rel=\"noopener\" title=\"NVIDIA A100 80GB PCIe GPU - Specs Sheet\" href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/PB-10577-001_v02.pdf\" target=\"_blank\"\u003e\u003c\/a\u003e\u003c\/strong\u003e\n\u003c\/h3\u003e\n\u003ctable style=\"width: 100.036%; height: 460.8px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003cth style=\"width: 28.4292%; height: 10px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"width: 69.1109%; height: 10px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eModel \/ Part Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eNVIDIA A100 80GB PCIe GPU (900-21001-0020-000)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eNVIDIA Ampere (GA100 GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e6,912\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e432 (3rd Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eGPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e80GB HBM2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e2,039 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eNVLink Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eYes, via NVLink Bridge (PCIe variant supports limited NVLink)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 39.2px;\"\u003e\u003cstrong\u003eMIG (Multi-Instance GPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 39.2px;\"\u003eUp to 7 GPU instances\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eFP64 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e9.7 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eFP32 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e19.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eTF32 (Tensor Float 32)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e156 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eFP16 \/ BF16 Tensor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e312 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eINT8 Tensor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e1,248 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003ePCI Express Gen4 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eCooling\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003ePassive (requires server airflow)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eTDP\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eFull-height, full-length dual-slot card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003e~4.9 lbs (2.2 kg)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eSupported Frameworks\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eTensorFlow, PyTorch, Caffe, MXNet, CUDA, and more\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 19.6px;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 19.6px;\"\u003eNVLink Ready, MIG Enabled, DGX Certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 28.4292%; height: 39.2px;\"\u003e\u003cstrong\u003eUse Case\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 69.1109%; height: 39.2px;\"\u003eAI training\/inference, HPC workloads, data analytics, cloud computing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003ch3\u003e\u003cstrong\u003e💬 Frequently Asked Questions (FAQs)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eQ1: What is the difference between the A100 80GB PCIe and SXM4 models?\u003c\/strong\u003e\u003cbr\u003eA1: The PCIe model offers lower power (300 W vs. 400 W), easier server integration, and broader compatibility, while SXM4 provides higher bandwidth and tighter NVLink scaling.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ2: Does the A100 80GB PCIe support NVLink?\u003c\/strong\u003e\u003cbr\u003eA2: Yes, but with limited bandwidth compared to the SXM4 variant — ideal for multi-GPU setups in PCIe server configurations.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ3: What makes the A100 80GB ideal for AI workloads?\u003c\/strong\u003e\u003cbr\u003eA3: With Tensor Core acceleration and MIG partitioning, it handles training, inference, and analytics with exceptional efficiency.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ4: Can I use this GPU in a standard workstation?\u003c\/strong\u003e\u003cbr\u003eA4: It’s primarily designed for data center servers with sufficient airflow, not consumer workstations.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ5: What warranty coverage is available?\u003c\/strong\u003e\u003cbr\u003eA5: Most authorized resellers offer a 3-year limited manufacturer or refurbished warranty depending on condition.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":46731774165153,"sku":"NVIDIA-A100-80GB-PCIE-GPU","price":283500.0,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2216\/8673\/files\/NVIDIA-A100-80GB-PCIe-GPU-Ampere-Architecture-with-NVLink-MIG-Support.jpg?v=1784705513","url":"https:\/\/www.foxti.com.br\/products\/nvidia-a100-80gb-pcie-gpu-ampere-architecture-with-nvlink-mig-support","provider":"FoxTI","version":"1.0","type":"link"}