{"product_id":"p100-900-2h400-6200-030-nvidia-tesla-p100-16gb-pcie-30-x-16-gpu","title":"P100: 900-2H400-6200-030 NVIDIA Tesla P100 16GB PCIe 3.0 x 16 GPU","description":"\u003ch1\u003e\u003cstrong\u003eNVIDIA Tesla P100 16GB PCIe GPU – 900-2H400-6200-030\u003c\/strong\u003e\u003c\/h1\u003e\n\u003chr\u003e\n\u003ch2\u003e\u003cstrong\u003eHigh-Performance Tesla P100 for AI, HPC \u0026amp; Deep Learning Workloads\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Tesla P100 16GB PCIe GPU (900-2H400-6200-030)\u003c\/strong\u003e delivers exceptional performance for data science, AI training, and HPC workloads. Built on the Pascal architecture, the P100 is engineered with 16GB of high-bandwidth HBM2 memory and supports 732 GB\/s memory bandwidth. With 3584 CUDA cores and PCIe Gen 3.0 x16 support, it accelerates complex computational workloads across data centers, workstations, and AI servers.\u003c\/p\u003e\n\u003cp\u003eDesigned for power-efficient performance, the P100 enables faster model training, simulation, and data analytics, making it ideal for academic, enterprise, and research applications.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch3\u003e\u003cstrong\u003e✅ Product Description for \u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/tesla-product-literature\/NV-tesla-p100-pcie-PB-08248-001-v01.pdf\" target=\"_blank\" title=\"NVIDIA Tesla P100 16GB PCIe GPU Specifications\" rel=\"noopener\"\u003eNVIDIA Tesla P100 16GB PCIe GPU\u003c\/a\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eCategory\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\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e900-2H400-6200-030\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePascal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3584\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16 GB 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\u003e732 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCI Express 3.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-slot, full-height\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax Power Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e250W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCompute Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 10.6 TFLOPS (single-precision)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eECC Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYes\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 system airflow)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTarget Applications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI\/ML, HPC, Data Analytics, Simulation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupported Platforms\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLinux, Windows, CUDA 8.0+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10.5\" x 4.4\" (267mm x 112mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1.76 lbs (0.8 kg)\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\u003e1. Is the Tesla P100 suitable for gaming?\u003c\/strong\u003e\u003cbr\u003eNo, the Tesla P100 is built for professional compute workloads such as AI, deep learning, and simulation, not gaming or consumer graphics.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Does it require additional cooling?\u003c\/strong\u003e\u003cbr\u003eYes. The P100 uses a passive heatsink design and requires adequate system airflow for cooling.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Can it be used in workstations?\u003c\/strong\u003e\u003cbr\u003eYes, as long as your workstation supports PCIe 3.0 x16 and has adequate power and airflow.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Does this card support ECC memory?\u003c\/strong\u003e\u003cbr\u003eYes, ECC (Error-Correcting Code) is supported for high data integrity in compute environments.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. What's the difference between SXM and PCIe versions?\u003c\/strong\u003e\u003cbr\u003eThe PCIe version (this model) offers broader system compatibility, while the SXM2 form factor offers higher interconnect bandwidth in specialized systems.\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":46731774722209,"sku":"NVD-TESLA-P100-16GB-6200-030","price":7425.0,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2216\/8673\/files\/P100-900-2H400-6200-030-NVIDIA-Tesla-P100-16GB-PCIe-3_0-x-16-GPU.jpg?v=1784705532","url":"https:\/\/www.foxti.com.br\/products\/p100-900-2h400-6200-030-nvidia-tesla-p100-16gb-pcie-30-x-16-gpu","provider":"FoxTI","version":"1.0","type":"link"}