Nvidia has unveiled the Tesla V100, its first GPU based on the new Volta architecture. Like the Pascal-based P100 before it, the V100 is designed for high-performance computing rather than ...

Nvidia has taken the wraps off its newest accelerator aimed at deep learning, the Tesla V100. Developed at a cost of $3 billion, the V100 packs 21 billion transistors laid down with TSMC's 12 ...

GTC 2017 - NVIDIA has unveiled its monsterous new Tesla V100 professional graphics card, the first with their next-gen Volta GPU architecture - and NVIDIA's second graphics card with HBM2 technology.

Nvidia's Tesla V100 GPU equates to 100 CPUs. ... IBM and Supermicro outlined servers on Nvidia's latest GPU accelerators, which are based on the Volta architecture from the graphics chip maker.

Hardware; nvidia; volta; Nvidia unveils its first Volta GPU, the Tesla V100 Packed with 21 billion transistors and 5120 CUDA cores By Rob Thubron May 11, 2017, 6:15 23 comments ...

At the heart of the Tesla V100 is NVIDIA's Volta GV100 GPU, which features a staggering 21.1 billion transistors on a die that measures 815mm 2 (this compares to 12 billion transistors and 610mm 2 ...

NVIDIA launches Volta, its new GPU computing architecture which powers the first Volta-based processor, the NVIDIA Tesla V100.

NVIDIA's new Volta-based Tesla V100 tested, and holy balls is it fast. ... AMD might have just launched their new Vega GPU architecture with a slew of Vega-based products (Radeon Vega, ...

As an example of what that means, Nvidia stated that on ResNet-50 training (a deep neural network), the V100 is 2.4 times faster than the P100, and for ResNet-50 inference, it's 3.7 times faster.

A new report suggests NVIDIA is working on a new GPU architecture for release next year. According to Heise.de, NVIDIA’s new archecture, codenamed Ampere, will succeed Pascal – and usurp Volta ...

Tesla P100 was the world’s first GPU architecture to support the high-bandwidth HBM2 memory technology, while Tesla V100 provided a faster, more efficient, and higher capacity HBM2 implementation.