Based on the new NVIDIA Turing Architecture and packaged in an energy-efficient 70-watt, small PCIe form factor, Tesla T4 is optimized for scale-out computing environments with its multi-precision Turing Tensor Cores and new RT Cores. The NVIDIA Tesla T4 GPU supports diverse cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics, and graphics. The Tesla V100 FHHL offers significant performance and great power efficiency. The NVIDIA Tesla V100 FHHL GPU Accelerator is the latest NVIDIA Volta family product, a full-height half-length (FHHL) form factor, suitable for advanced data center functions to accelerate AI, HPC, and graphics. From virtual workstations, accessible anywhere in the world, to render nodes to the data centers running a variety of workloads, A10 is built to deliver optimal performance in a single-wide, full-height, full-length PCIe form factor. Built on the latest NVIDIA Ampere architecture, the A10 combines second-generation RT Cores, third-generation Tensor Cores, and new streaming microprocessors with 24 GB of GDDR6 memory for versatile graphics, rendering, AI, and compute performance. The NVIDIA A10 Tensor Core GPU, combined with NVIDIA RTX Virtual Workstation (vWS) software, brings mainstream graphics and video with AI services to mainstream enterprise servers, delivering the solutions that designers, engineers, artists, and scientists need to meet today’s challenges. It supports 64 desktops per board and 128 desktops per server, giving your business the power to deliver great experiences to all of your employees at an affordable cost.
#MULTI GPU WORKSTATION CABINET SOFTWARE#
ThinkSystem NVIDIA Tesla M10 GPU accelerator works with NVIDIA GRID software to provide the industry’s highest user density for virtualized desktops and applications. M60 GPU accelerator, features 16GB memory capacity, works with NVIDIA GRID software to provide the industry’s highest user performance for virtualized workstations, desktops, and applications. High-performance for virtualization applications. The P40 is powered by the revolutionary NVIDIA Pascal architecture provide the computational engine for the new era of artificial intelligence, enabling amazing user experiences by accelerating deep learning applications at scale.
The NVIDIA Tesla P40 GPU accelerator is purpose-built to deliver maximum throughput for deep learning deployment. P100 GPU accelerators are the most advanced ever built, features 16GB memory capacity, powered by the breakthrough NVIDIA Pascal architecture and designed to boost throughput to save money for HPC and Hyperscale data centers. High-performance computing GPU for HPC workloads and Deep Learning training workloads. The A30 combines fast memory bandwidth and low-power consumption in a PCIe form factor to enable an elastic data center and delivers maximum value for enterprises. With NVIDIA Ampere architecture Tensor Cores and Multi-Instance GPU (MIG), it delivers speedups securely across diverse workloads, including AI inference at scale and HPC applications. The NVIDIA A30 offers versatile compute acceleration for mainstream enterprise servers. Available with either 16GB or 32GB of HBM2 high-bandwidth memory. The GPU supports double precision (FP64), single precision (FP32) and half precision (FP16) compute tasks, unified virtual memory and page migration engine. NVIDIA Tesla V100 GPU adapter is a dual-slot 10.5 inch PCIe 3.0 card with a single NVIDIA Volta GV100 graphics processing unit (GPU). The V100S GPU offers improved performance over the V100, featuring a ~25% increase in memory bandwidth and higher FLOPS. NVIDIA Tesla V100S GPU adapter is a dual-slot 10.5 inch PCIe 3.0 card with a single NVIDIA Volta GV100 graphics processing unit (GPU). A100’s third-generation Tensor Core technology now accelerates more levels of precision for diverse workloads, speeding time to insight as well as time to market. As the engine of the NVIDIA data center platform, A100 can efficiently scale up to thousands of GPUs or, using new Multi-Instance GPU (MIG) technology, can be partitioned into seven isolated GPU instances to accelerate workloads of all sizes. The NVIDIA A100 Tensor Core GPU delivers acceleration at every scale for AI, data analytics, and HPC to tackle the world’s toughest computing challenges.
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