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 …
12 Things You Should Know about the Tesla ... - NVIDIA Developer
Nov 11, 2014 · Tesla is the only platform for accelerated computing on systems based on all major CPU architectures: x86, ARM64, and POWER. But you don’t need to install your own HPC facilities to run on Tesla GPUs; cloud-based applications can use CUDA for acceleration on the thousands of Tesla GPUs available in the Amazon cloud. 2.
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
Amazon.com: Nvidia Tesla v100 16GB : Electronics
NVIDIA Tesla V100 is the most advanced data center GPU ever built to accelerate AI, HPC, 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.
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.
Nvidia Tesla Graphics Card List - GadgetVersus
List of Nvidia Tesla with some of their technical characteristics such as frequencies, memory size, cache memory, maximum wattage consumption, and a link to...
INTRODUCTION TO THE NVIDIA TESLA V100 GPU ARCHITECTURE Since the introduction of the pioneering CUDA GPU Computing platform over 10 years ago, each new NVIDIA® GPU generation has delivered higher application performance, improved power efficiency, added important new compute features, and simplified GPU programming. Today,
GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible. SPECIFICATIONS Tesla V100 PCle SXM2 GPU Architecture NVIDIA Volta
NVIDIA Tesla GPUs are installed in many of the world’s top supercomputers, accelerating discovery and enabling increasingly complex simulations across multiple domains. Datacenters are using NVIDIA Tesla GPUs to speed up numerous HPC and Big Data applications, while also enabling leading-edge Artificial Intelligence (AI) and Deep Learning ...