Nvidia's Tesla V100 GPU equates to 100 CPUs. That means the speed limit is lifted for AI workloads.

The V100 GPUs remain the most powerful chips in Nvidia’s lineup for high-performance computing. They have been around for quite a while now and Google is actually a bit late to the game here.

NVIDIA Tesla V100 Specifications GPU: GV100 (Volta) CUDA cores: 5120 Transistors: 21.1 billion Node: 12nm SMs: 80 GPU Boost Clock: 1455MHz TFLOPs: 15 VRAM: HBM2 Memory Bandwidth: 900GB/sec Memory ...

The Tesla V100 GPU equates to 100 CPUs, giving customers more power to handle computationally demanding applications, like machine learning, analytics, and video processing. As an example, Google ...

Soon after unveiling the Tesla V100 data center GPU based on its next-generation Volta architecture at GTC 2017, NVIDIA CEO Jen Hsun Huang announced an updated, Volta-infused DGX-1 server ...

According to Nvidia, the PCIe Tesla V100 accelerator should be available later this year and usual suspects, like HP, are likely to offer systems based on the Nvidia V100 accelerator.

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.

NVIDIA's new Tesla V100 uses just 150W in single-slot form, 300W in dual-slot form. Anthony Garreffa Gaming Editor Published May 10, 2017 9:17 PM CDT Updated Nov 3, 2020 11:55 AM CST ...

More bang for your buckNvidia 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 ...

In this video from ISC 2018, Marc Hamilton from NVIDIA describes how the company is working with Dell EMC to accelerate AI and HPC workloads. “Dell EMC Deep Learning Ready Bundle customers include the ...

Today Penguin Computing announced strategic support for the field of artificial intelligence through availability of its servers based on the highly-advanced NVIDIA Tesla V100 GPU accelerator, powered ...

The new NVIDIA Tesla V100 PCI-Express HPC Accelerator is based on the advanced 12 nm “GV100” silicon. The GPU is a multi-chip module with a silicon substrate and four HBM2 memory stacks.