The V100 will first appear inside Nvidia's bespoke compute servers. Eight of them will come packed inside the $150,000 (~£150,000) DGX-1 rack-mounted server, which ships in the third quarter of 2017.

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 ...

Built on a 12nm process, the V100 boasts 5,120 CUDA Cores, 16GB of HBM2 memory, an updated NVLink 2.0 interface and is capable of a staggering 15 teraflops of computational power.

Nvidia's Tesla V100 GPU equates to 100 CPUs. That means the speed limit is lifted for AI workloads. Written by Larry Dignan, Contributor Sept. 27, 2017 at 8:55 a.m. PT ...

NVIDIA's new Tesla V100 is a massive GPU with the Volta GPU coming in at a huge 815mm square, compared to the Pascal-based Tesla P100 at 600mm square.

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.

Nvidia says the Tesla V100 offers 1.5 times the teraflops performance of its Pascal predecessor. For yet another point of reference, the Titan V packs four times as many CUDA cores as the GeForce ...

Today Inspur announced that their new NF5488M5 high-density AI server supports eight NVIDIA V100 Tensor Core GPUs in a 4U form factor. “The rapid development of AI keeps increasing the requirements ...

NVIDIA's new Volta-based Tesla V100 tested, and holy balls is it fast. ... NVIDIA RTX 4090 GPU flat-out stress-tested runs at 20°C with home aircon unit cooling setup; ...

NVIDIA was a little hazy on the finer details of Ampere, but what we do know is that the A100 GPU is huge. Its die size is 826 square millimeters, which is larger than both the V100 (815mm2) and ...