{"product_id":"nvidia-a100-40gb-pcie-gpu-ampere-architecture-with-nvlink-mig","title":"NVIDIA A100 40GB PCIe GPU | Ampere Architecture with NVLink \u0026 MIG","description":"\u003ch1\u003e\u003cstrong\u003e🟩 NVIDIA A100 40GB PCIe GPU (Ampere Architecture, 40GB HBM2, NVLink, MIG Support) | \u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePNs: 900-21001-0000-000, RH1X7\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h1\u003e\n\u003ch2\u003e\u003cstrong\u003e🟨 High-Performance NVIDIA A100 40GB PCIe GPU for AI, Deep Learning \u0026amp; HPC Workloads\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA A100 40GB PCIe GPU\u003c\/strong\u003e (Part Numbers: \u003cstrong\u003e900-21001-0000-000\u003c\/strong\u003e, \u003cstrong\u003eRH1X7\u003c\/strong\u003e) delivers enterprise-grade acceleration for AI training, inference, and high-performance computing. Built on NVIDIA’s \u003cstrong\u003eAmpere architecture\u003c\/strong\u003e, it provides breakthrough performance with \u003cstrong\u003e40GB HBM2 memory\u003c\/strong\u003e, \u003cstrong\u003emulti-instance GPU (MIG)\u003c\/strong\u003e capability, and \u003cstrong\u003ethird-generation Tensor Cores\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eThe PCIe form factor makes it ideal for flexible deployment in \u003cstrong\u003edata centers\u003c\/strong\u003e, \u003cstrong\u003eAI clusters\u003c\/strong\u003e, and \u003cstrong\u003eGPU servers\u003c\/strong\u003e that demand scalable performance and reliability without the thermal limits of SXM modules.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch3\u003e\n\u003cstrong\u003e⚙️ Product Specifications: NVIDIA A100 40GB PCIe GPU\u003c\/strong\u003e\u003cbr\u003e\u003ca rel=\"noopener\" title=\"NVIDIA A100 40GB PCIe GPU - Specs Sheet\" href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/A100-PCIE-Prduct-Brief.pdf\" target=\"_blank\"\u003e\u003cstrong\u003eCLICK HERE FOR SPECIFICATIONS SHEET\u003c\/strong\u003e\u003c\/a\u003e\n\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel \/ Part Numbers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA A100 40GB PCIe (900-21001-0000-000, RH1X7)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere (GA100 GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6,912\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e432 (Third Generation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1,555 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP64 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e9.7 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP32 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTF32 (Tensor Float32)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e78 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP16 \/ BF16 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e156 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINT8 Tensor Core Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e624 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCI Express Gen 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePassive (requires server airflow)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIG Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYes (up to 7 instances)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNVLink Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYes (up to 600 GB\/s via NVLink Bridge)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTDP\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e250W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-slot, 267mm length\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eData center–qualified, DGX\/Certified servers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~3 lbs (approximate module weight)\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 NVIDIA A100 40GB PCIe GPU best used for?\u003c\/strong\u003e\u003cbr\u003eA1: It’s optimized for \u003cstrong\u003eAI training, inference, HPC, data analytics\u003c\/strong\u003e, and \u003cstrong\u003elarge-scale machine learning workloads\u003c\/strong\u003e requiring maximum performance in PCIe-based systems.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ2: How does it differ from the A100 80GB SXM4 version?\u003c\/strong\u003e\u003cbr\u003eA2: The PCIe version operates at \u003cstrong\u003e250W\u003c\/strong\u003e vs \u003cstrong\u003e400W\u003c\/strong\u003e for SXM4 and supports \u003cstrong\u003estandard PCIe servers\u003c\/strong\u003e, offering easier integration but slightly lower bandwidth.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ3: Does it support Multi-Instance GPU (MIG)?\u003c\/strong\u003e\u003cbr\u003eA3: Yes, you can divide one A100 GPU into \u003cstrong\u003eup to 7 independent GPU instances\u003c\/strong\u003e for optimized resource sharing.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ4: Can I connect two A100 PCIe GPUs using NVLink?\u003c\/strong\u003e\u003cbr\u003eA4: Yes, the A100 PCIe supports \u003cstrong\u003eNVLink Bridge\u003c\/strong\u003e connections (sold separately) for up to \u003cstrong\u003e600 GB\/s GPU-to-GPU bandwidth\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ5: What cooling requirements does it have?\u003c\/strong\u003e\u003cbr\u003eA5: The A100 PCIe uses \u003cstrong\u003epassive cooling\u003c\/strong\u003e, so ensure adequate \u003cstrong\u003echassis airflow\u003c\/strong\u003e in your server or workstation for optimal performance.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":46731774230689,"sku":"A100-40GB-PCIE-GPU","price":117000.0,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2216\/8673\/files\/NVIDIA-A100-40GB-PCIe-GPU-Ampere-Architecture-with-NVLink-MIG.png?v=1784705515","url":"https:\/\/www.foxti.com.br\/products\/nvidia-a100-40gb-pcie-gpu-ampere-architecture-with-nvlink-mig","provider":"FoxTI","version":"1.0","type":"link"}