Nvidia has doubled the memory of its Tesla V100 GPUs, from 16GB to 32GB, the company announced at its annual GPU Technology Conference. In a keynote speech, CEO Jensen Huang said: “The extraordinary ...

Nvidia makes a special 32GB edition of its most powerful PC graphics ... the beefed-up Titan V CEO Edition's performance on paper is a lot closer to that of the roughly $10,000 Tesla V100 cards.

NVIDIA claims the new DGX-2 is the world’s first 2 Petaflop Machine Learning system and it’s comprised of serious array of technology in support of its Tesla V100 32GB GPUs.

SAN JOSE, California, March 28, 2018 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), a global leader in enterprise computing, storage, networking solutions and green computing ...

The DGX-2 uses a Tesla V100 CPU, the top of the line for Nvidia’s HPC and artificial intelligence-based cards. With the DGX-2, it has doubled the on-board memory to 32GB.

Currently, Nvidia's top-end GPU in terms of core count is the Tesla V100, with 5,102 cores. Even the 6,912-core card would be a 1.35x increase, while the 7,936-core GPU is a 1.55x increase.

Nvidia has doubled the memory of its Tesla V100 GPUs, from 16GB to 32GB, the company announced at its annual GPU Technology Conference. In a keynote speech, CEO Jensen Huang said: “The extraordinary ...

On display at GTC 2018, Supermicro GPU-optimized systems address market demand for 10x growth in deep learning, AI, and big data analytic applications with best-in-class features including NVIDIA ...