Feeding the V100 GPU is 16GB of HBM2 memory clocked at 1.75GHz on a 4096-bit bus for 900GB/sec of bandwidth. Despite the large die, the V100 GPU still runs at a peak 1455MHz.

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 ...

The Tesla V100 chip uses TSMC's tiny 12nm production process, but it is still an absolutely enormous beast of a GPU. It's an 815mm2 chip, around twice the size of the 471mm2 GP102 of the GTX 1080 ...

To fit all that tech, the Volta GPU in the Tesla V100 measures a borderline ridiculous 815mm square, compared to the Tesla P100’s 600mm GPU. Monstrous. Nvidia. Nvidia’s Volta-based Tesla V100.

FREMONT, Calif., Sept. 28, 2017 /PRNewswire/ -- AMAX, a leading provider of Deep Learning, HPC, Cloud/IaaS servers and appliances, today announced that its GPU solutions, including Deep Learning ...

The GV100 GPU inside the Titan V and Tesla V100 use TSMC’s new 12nm “FFN” manufacturing process technology, an upgrade over the 16nm tech that GTX 10-series GPUs rely on.

The GPU has 5,120 CUDA cores and is claimed to have 7.5 TeraFLOPs for 64-bit precision and 15 TeraFLOPs for 32-bit. On the memory front, the GPU has 16GB of HBM2 RAM that has bandwidth of 900GB ...

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 ...