{"product_id":"v100-16gb-sxm2-gpu-deep-learning-ai-workstation-acceleration-card","title":"V100 16GB SXM2 GPU – Deep Learning \u0026 AI Acceleration Card","description":"\n\u003ch2\u003eNVIDIA Tesla V100 16GB SXM2 – Professional GPU Acceleration Card\u003c\/h2\u003e\n\u003cp\u003eUnleash next-level computing performance with the \u003cstrong\u003eV100 16GB SXM2 Graphics Card\u003c\/strong\u003e — one of the most capable data center GPUs ever engineered. Purpose-built for \u003cstrong\u003edeep learning, AI training, high-performance computing (HPC), and scientific simulation\u003c\/strong\u003e, this powerhouse GPU delivers outstanding throughput for even the most demanding workloads. Whether you're training large neural networks, running parallel compute tasks, or accelerating data analytics pipelines, the V100 SXM2 is built to handle it all at exceptional speed.\u003c\/p\u003e\n\n\u003cp\u003eMade in Mainland China.\u003c\/p\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e16GB HBM2 Memory:\u003c\/strong\u003e Ultra-high bandwidth memory designed for large-scale model training and inference tasks with massive datasets.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSXM2 Form Factor:\u003c\/strong\u003e High-bandwidth NVLink interface for multi-GPU configurations, enabling faster GPU-to-GPU data transfer than standard PCIe connections.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTensor Core Technology:\u003c\/strong\u003e Accelerates mixed-precision matrix operations for dramatically faster deep learning training and inference cycles.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFP64 \/ FP32 \/ FP16 Precision Support:\u003c\/strong\u003e Flexible precision modes for scientific computing, simulation, and AI workloads.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e900 GB\/s Memory Bandwidth:\u003c\/strong\u003e Industry-leading memory throughput to keep your GPU fed with data and minimize bottlenecks.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eIdeal for Data Centers \u0026amp; Workstations:\u003c\/strong\u003e Designed for professional server and workstation environments requiring sustained high-performance compute.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCUDA-Compatible:\u003c\/strong\u003e Full compatibility with NVIDIA's CUDA ecosystem, cuDNN, TensorFlow, PyTorch, and other leading AI\/ML frameworks.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e300W TDP:\u003c\/strong\u003e Enterprise-grade thermal design for sustained compute workloads in rack-mounted server environments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho Is This For?\u003c\/h3\u003e\n\u003cp\u003eThe V100 16GB SXM2 is the go-to GPU for \u003cstrong\u003eAI researchers, data scientists, ML engineers, HPC professionals, and enterprise IT teams\u003c\/strong\u003e who need reliable, high-throughput compute acceleration. It excels in:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eTraining and fine-tuning large language models (LLMs) and deep neural networks\u003c\/li\u003e\n  \u003cli\u003eComputer vision and image recognition workloads\u003c\/li\u003e\n  \u003cli\u003eComputational fluid dynamics and molecular dynamics simulation\u003c\/li\u003e\n  \u003cli\u003eFinancial modeling and quantitative analysis\u003c\/li\u003e\n  \u003cli\u003eRendering and GPU-accelerated database workloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e V100 SXM2\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 16GB HBM2\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 900 GB\/s\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e SXM2\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eInterconnect:\u003c\/strong\u003e NVLink\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 5,120\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTensor Cores:\u003c\/strong\u003e 640\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTDP:\u003c\/strong\u003e 300W\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePrecision:\u003c\/strong\u003e FP64, FP32, FP16, INT8\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOrigin:\u003c\/strong\u003e Mainland China\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eRelated Products You May Like\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/1-8m-displayport-to-hdmi-cable-4k-dp-adapter-pc-hdtv-projector\"\u003e1.8M DisplayPort to HDMI Cable 4K – DP Adapter for PC \u0026amp; TV\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/hdmi-av-to-rf-modulator-1-channel-pal-ntsc-secam-catv-hotel\"\u003e1-Channel HDMI \u0026amp; AV to RF Modulator – PAL\/NTSC CATV Hotel\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"\/products\/1-channel-mini-hd-video-encoder-hdmi-to-ip-rtmp-srt-hls-rtsp-h265-h264-iptv\"\u003e1-Channel Mini HD Video Encoder HDMI to IP RTMP SRT HLS H.265\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor more information on GPU computing standards and high-performance computing best practices, visit the U.S. Department of Energy – Advanced Scientific Computing Research.\u003c\/p\u003e\n\n\u003cp\u003eLearn more: \u003ca href=\"https:\/\/en.wikipedia.org\/wiki\/Graphics_card\" target=\"_blank\" rel=\"noopener\"\u003eGraphics card\u003c\/a\u003e\u003c\/p\u003e\n\u003ch3\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003ch4\u003eQ: What is the V100 16GB SXM2 GPU used for?\u003c\/h4\u003e\n\u003cp\u003eA: The V100 16GB SXM2 is a professional-grade GPU acceleration card designed for deep learning model training, AI inference, high-performance computing (HPC), scientific simulation, and data analytics. It is widely used in data centers, research institutions, and professional workstations requiring massive compute throughput.\u003c\/p\u003e\n\n\u003ch4\u003eQ: What is the difference between the SXM2 and PCIe versions of the V100?\u003c\/h4\u003e\n\u003cp\u003eA: The SXM2 version uses NVIDIA's NVLink interconnect, which provides significantly higher GPU-to-GPU bandwidth compared to standard PCIe. This makes the SXM2 form factor ideal for multi-GPU server configurations where fast inter-GPU communication is critical for large-scale model training.\u003c\/p\u003e\n\n\u003ch4\u003eQ: Is the V100 SXM2 compatible with popular AI frameworks like TensorFlow and PyTorch?\u003c\/h4\u003e\n\u003cp\u003eA: Yes. The V100 SXM2 is fully compatible with NVIDIA's CUDA ecosystem, including cuDNN, TensorFlow, PyTorch, MXNet, and other leading AI and machine learning frameworks. Its Tensor Core architecture is specifically optimized to accelerate mixed-precision training in these environments.\u003c\/p\u003e\n\n\u003ch4\u003eQ: What kind of system is required to use the V100 SXM2?\u003c\/h4\u003e\n\u003cp\u003eA: The V100 SXM2 is designed for server-grade platforms that support the SXM2 form factor, such as the NVIDIA DGX-1 and compatible HPC server chassis. It requires a 300W power delivery solution and adequate cooling for sustained compute workloads. It is not compatible with standard consumer desktop PCIe slots.\u003c\/p\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What is the V100 16GB SXM2 GPU used for?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The V100 16GB SXM2 is a professional-grade GPU acceleration card designed for deep learning model training, AI inference, high-performance computing (HPC), scientific simulation, and data analytics. It is widely used in data centers, research institutions, and professional workstations requiring massive compute throughput.\"}}, {\"@type\": \"Question\", \"name\": \"What is the difference between the SXM2 and PCIe versions of the V100?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The SXM2 version uses NVIDIA's NVLink interconnect, which provides significantly higher GPU-to-GPU bandwidth compared to standard PCIe. 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It is not compatible with standard consumer desktop PCIe slots.\"}}]}\u003c\/script\u003e\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\": \"https:\/\/schema.org\", \"@type\": \"BreadcrumbList\", \"itemListElement\": [{\"@type\": \"ListItem\", \"position\": 1, \"name\": \"Home\", \"item\": \"https:\/\/oasis-select.com\/\"}, {\"@type\": \"ListItem\", \"position\": 2, \"name\": \"Electronics \u0026 Tech\", \"item\": \"https:\/\/oasis-select.com\/collections\/electronics-tech\"}, {\"@type\": \"ListItem\", \"position\": 3, \"name\": \"V100 16GB SXM2 GPU – Deep Learning \u0026 AI Acceleration Card\", \"item\": \"https:\/\/oasis-select.com\/products\/v100-16gb-sxm2-gpu-deep-learning-ai-workstation-acceleration-card\"}]}\u003c\/script\u003e","brand":"Oasis Select","offers":[{"title":"V100 16G SXM2","offer_id":47744825229417,"sku":"14:350686#V100 16G SXM2","price":899.77,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/7931\/3257\/files\/S26512520c7c64e6c99891d5c8524ea49X.webp?v=1783027352","url":"https:\/\/oasis-select.com\/products\/v100-16gb-sxm2-gpu-deep-learning-ai-workstation-acceleration-card","provider":"Oasis Select","version":"1.0","type":"link"}