The NVIDIA®M10 GPU works with NVIDIA GRID®software to deliver the industry's highest user density for virtualized desktops and applications. It supports up to 32 users per board (1GB profile), up to 96 users per server, giving businesses the power to deliver great experiences to all of...
NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and Graphics.
Total options:1 GPU Model;1 Video Memory Capacity;1 Model Number. Select now GPU Model(1):Other Other Video Memory Capacity(1):32GB 32GB Model Number(1) Tesla V100 32G Shipping Shipping solutions for the selected quantity are currently unavailable ...
NVIDIA Tesla V100S PCIe 32 GB GPU NAME NVIDIA Tesla V100S PCIe 32 GB GPU Transistors 21,100 million Die Size 815 mm² Memory Type HBM2 Bandwidth 1,133 GB/s Memory Clock 1106 MHz 2.2 Gbps effective Slot Width Dual-slot TDP 250 W Power Connectors 2x 8-pin Shading Units 5120 Packaging...
NVIDIA刚刚发布了新的Tesla V100加速器,专为AI和机器学习应用而设计,Tesla V100的核心是NVIDIA的Volta GV100 GPU。该芯片在芯片上具有211亿个晶体管,尺寸为815平方毫米(而前一代Pascal GP100分别为120亿个晶体管和610平方毫米)。GV100采用台积电12nm FinFET制造工艺。例如,它由5,120个CUDA内核组成,升频时钟为1455...
Designed to meet the needs of many modern computing systems, the NVIDIA Tesla V100 16GB GPU is for implementations using the PCIe slots, the most commonly used form factor. The PCIe version also operates at a lower thermal design power point when compared to the SXM2 version, which uses NV...
多名与会者与多个新闻站点发现了这点,Nvidia 向我证实这确实是一张新卡。Nvidia 的“Volta” 这代 Tesla GPU 加速卡在 2017 年就已淘汰,因此升级工作应该早已过期。 V100S 目前仅提供 PCI Express 3 接口,但有望最终支持 Nvidia 的 SXM2 接口。SXM 是 Nvidia 的双插槽卡设计,与 PCIe 卡不同,它不需要连接...
NVIDIA Tesla® GPUs provide the highest level of performance on large data sets and double-precision floating point calculations. Engineered specifically for AI, HPC and complex graphics applications, they deliver a higher level of precision and mathematical calculation. These GPU accelerators are optim...
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The latest upgrade of Nvidia's Tesla V100 GPU doubles memory to 32GB, improving its capacity for data-intensive applications such as training of deep-learning models. A new NVSwitch interconnect fabric enables up to 16 Tesla V100 GPUs to share memory and simultaneously communicate at 2.4TB ...