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'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 ...

Google today announced that Nvidia’s high-powered Tesla V100 GPUs are now available for workloads on both Compute Engine and Kubernetes Engine.For now, this is only a public beta, but for those ...

In this special guest feature, Robert Roe from Scientific Computing World writes that increasingly power-hungry and high-density processors are driving the growth of liquid and immersion cooling ...

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 ...

NVIDIA's super-fast Tesla V100 rocks 16GB of HBM2 that has memory bandwidth of a truly next level 900GB/sec, up from the 547GB/sec available on the TITAN Xp, which costs $1200 in comparison.

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 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.

The NVIDIA Tesla V100 PCIe is out later this year. Price is yet to be announced, though expect it to cost around £10,000. Tags. NVIDIA Tesla.

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 said inference on the Tesla V100 is 15 to 25 times faster than Intel's Skylake CPU architecture. While Nvidia is trying to make its chips better suited for deep learning, ...

The Tesla V100 has 20 MB SM RF with 16GB cache. The memory of choice is the 16GB HBM2 at 900 GB/s and support for 300 GB/s NVlink. Pascal P100 had 7.1 Billion transistors and came with 3584 Cuda ...