Nvidia Tesla - Wikipedia
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.
NVIDIA Tesla V100
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 …
NVIDIA T4 Tensor Core GPU for AI Inference | NVIDIA Data Center
Powered by NVIDIA Turing Tensor Cores, NVIDIA Tesla T4 provides revolutionary multi-precision inference performance to accelerate the diverse applications of modern AI
12 Things You Should Know about the Tesla ... - NVIDIA Developer
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.
Hopper (microarchitecture) - Wikipedia
Hopper is a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is designed for datacenters and is used alongside the Lovelace microarchitecture. It is the latest generation of the line of products formerly branded as Nvidia Tesla, now Nvidia Data Centre GPUs.
Nvidia Tesla Personal Supercomputer - Wikipedia
The Tesla Personal Supercomputer is a desktop computer (personal supercomputer) that is backed by Nvidia and built by various hardware vendors. [1]
High Performance Supercomputing | NVIDIA Data Center GPUs
Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA ® Data Center GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning.
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 .
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NVIDIA Tesla P100
NVIDIA’s new NVIDIA Tesla P100 accelerator (see Figure 1) using the groundbreaking new NVIDIA® Pascal™ GP100 GPU takes GPU computing to the next level. This paper details both the Tesla P100
Tesla (microarchitecture) - Wikipedia
Tesla is the codename for a GPU microarchitecture developed by Nvidia, and released in 2006, as the successor to Curie microarchitecture. It was named after the pioneering electrical engineer Nikola Tesla.