GPU Applications Catalog

Boost Up to Tesla Volta

The Core of AI and HPC in the Modern Data Center

NVIDIA A100 GPU for Servers
Solving the world's most important scientific, industrial, and business challenges with AI and HPC. Visualizing complex content to create cutting-edge products, tell immersive stories, and reimagine cities of the future. Extracting new insights from massive datasets. The NVIDIA Ampere architecture, designed for the age of elastic computing, rises to all these challenges, providing unmatched acceleration at every scale.
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The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world's highest-performing elastic data centers for AI, data analytics, and HPC. and the NVIDIA A40 GPU is an evolutionary leap in performance and multi-workload capabilities from the data center, combining best-in-class professional graphics with powerful compute and AI acceleration to meet today's design, creative, and scientific challenges.
NVIDIA Ampere Computing GPUs Quick Comparison:
Architecture GA100 (Ampere) GA102 (Ampere) GA100 (Ampere) GA102 (Ampere) GA107 x4 (Ampere) GA107 (Ampere)
Tensor Cores 432 336 224 288 80 x4 40
CUDA Cores 6,912 10,752 3584 9,216 2,560 x4 1280
RT Cores - 84 - 72 20 x4 10
Memory Bandwidth 1,555 GB/s 696 GB/s 600 GB/s 600 GB/s 200 GB/s x4 200 GB/s
Memory Interface 5120-bit 384-bit 3072-bit 384-bit 128 bit x4 128 bit
Memory Size 40GB & 80GB 48GB GDDR6 ECC 24GB HBM2 24GB GDDR6 16GB GDDR6 (ECC) 4x 16GB GDDR6 (ECC)
Bus Interface PCIe 4.0 x16 PCIe 4.0 x16 PCIe 4.0 x16 PCIe 4.0 x16 PCIe 4.0 x16 PCIe 4.0 x8
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NVIDIA Tesla V100 Tensor Core is the most advanced data center GPU ever built to accelerate AI, high performance computing (HPC), data science and graphics. It’s powered by NVIDIA Volta architecture and the NVIDIA T4 GPU accelerates diverse cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics, and graphics. Based on the new NVIDIA Turing™ architecture and packaged in an energy-efficient 70-watt, small PCIe form factor, T4 is optimized for mainstream computing environments and features multi-precision Turing Tensor Cores and new RT Cores.
NVIDIA Tesla Computing GPUs Quick Comparison:
GPU Model Tesla V100S NVIDIA T4        
Architecture GV100 (Volta) TU104 (Turing)        
Tensor Cores 640 320        
CUDA Cores 5,120 2560        
RT Cores - 40        
Memory Bandwidth 1,134 GB/s 320 GB/s        
Memory Interface 5120-bit  256-bit         
Memory Size 32GB 16GB GDDR6        
Bus Interface PCIe 3.0 x16 PCIe 3.0 x16        
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High Performance Computing (HPC) - Supercomputing with NVIDIA Tesla
Modern data centers are key to solving some of the world's most important scientific and bigdata challenges using high performance computing (HPC) and artificial intelligence (AI). NVIDIA Tesla accelerated computing platform provides these modern data centers with the power toaccelerate HPC and AI workloads. NVIDIA Pascal GPU-accelerated servers deliver breakthroughperformance with fewer servers resulting in faster scientific discoveries and insights anddramatically lower costs.

Tags:NVIDIA A100 80GB for PCIe 900-21001-0020-000, NVIDIA Ampere, NVIDIA A16 900-2G171-0000-000, NVIDIA A10, NVIDIA A30, NVIDIA A40, NVIDIA A100 for PCIe - 900-21001-0000-000 - NVIDIA TESLA V100S PCIe 32GB - 900-2G500-0040-000, Tesla V100 16GB PCIE - 900-2G500-0000-000, Tesla V100 32GB PCIE - 900-2G500-0010-000, V100 16GB SXM2 - 900-2G503-0000-000, P100 PCIE 12GB 900-2H400-0010-000, P100 PCIE 16GB 900-2H400-0000-000, P100 SXM2 NVLINK 900-2H403-0000-000, P40 900-2G610-0000-000, P4 900-2G414-0000-000, K80 900-22080-0002-000, M40 12GB 900-2G600-0000-000, M40 16GB 900-2G600-0010-000, K40 Active 900-22081-2250-000, K40 Pass 900-22081-0040-000, K20 900-22081-2220-000,
XI1028GQ-TXR, XI4028GR-TR2, XI4028GR-TXR, XI1028GQ-TR, XI1028GR-TR, XI7048GR-TR,  XISC747BTQ-R1K62B

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