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, comes in 16 and 32GB configurations, and offers the performance of up to 100 CPUs in a single GPU. Data scientists, researchers, and ...

Jun 22, 2021 · Powered by the NVIDIA Ampere Architecture, the A100 GPU provides up to 20x higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands.

Powered by NVIDIA Turing Tensor Cores, NVIDIA Tesla T4 provides revolutionary multi-precision inference performance to accelerate the diverse applications of modern AI

Nov 11, 2014 · You may already know NVIDIA Tesla as a line of GPU accelerator boards optimized for high-performance, general-purpose computing. They are used for parallel scientific, engineering, and technical computing, and they are designed for deployment in supercomputers, clusters, and workstations.

Bringing support for NVIDIA Blackwell architecture across data center and GeForce products, NVIDIA cuDNN 9.7 delivers speedups of up to 84% for FP8 Flash... 1 MIN READ Just Released: NVIDIA cuDNN 9.7

The NVIDIA Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads. The GV100 GPU includes 21.1 billion transistors with a die size of 815 mm 2 .

Read more about the difference between NVIDIA RTX, NVIDIA GeForce, and NVIDIA Quadro. Download Type "All" Shows all available driver options for the selected product.

NVIDIA Tesla K80 is the world’s fastest HPC and machine learning accelerator, engineered to deliver superior application performance.

Download the English (US) Tesla Driver for Windows for Windows 10 64-bit systems. Released 2018.1.9

Apr 23, 2019 · First, Tesla is raising the bar for all other carmakers. Second, Tesla’s self-driving cars will be powered by a computer based on two of its new AI chips, each equipped with a CPU, GPU, and deep-learning accelerators.