Nvidia Tesla is the former name for a line of products developed by Nvidia targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla.

With 640 Tensor Cores, Tesla V100 is the world’s first GPU to break the 100 teraFLOPS (TFLOPS) barrier of deep learning performance. The next generation of NVIDIA NVLink™ connects multiple V100 GPUs at up to 300 GB/s to create …

Download the latest official NVIDIA drivers to enhance your PC gaming experience and run apps faster.

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.

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 .

1 day ago · Tesla, Nvidia Lead Tech Stock Rally Wednesday After Soft Inflation Data. By. Colin Laidley. Full Bio. Colin is an Associate Editor focused on tech and financial news. He has more than three years ...

Tesla is Nvidia's first microarchitecture implementing the unified shader model.The driver supports Direct3D 10 Shader Model 4.0 / OpenGL 2.1 (later drivers have OpenGL 3.3 support) architecture. The design is a major shift for NVIDIA in GPU functionality and capability, the most obvious change being the move from the separate functional units (pixel shaders, vertex …

Tesla V100 is the flagship product of Tesla data center computing platform for deep learning, HPC, and graphics. The Tesla platform accelerates over 550 HPC applications and every major deep learning framework.

Jun 22, 2021 · At CVPR this week, Andrej Karpathy, senior director of AI at Tesla, unveiled the in-house supercomputer the automaker is using to train deep neural networks for Autopilot and self-driving capabilities. The cluster uses 720 nodes of 8x NVIDIA A100 Tensor Core GPUs (5,760 GPUs total) to achieve an industry-leading 1.8 exaflops of performance.