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.

SAN JOSE, Calif., March 19, 2019 /PRNewswire/ -- Inspur, a leading datacenter and AI full-stack solution provider, today released the NF5488M5, th ...

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 ...

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 ...

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.

Nvidia's V100 GPUs have more than 120 teraflops of deep learning performance per GPU. That throughput effectively takes the speed limit off AI workloads. In a blog post, ...

Nvidia spent three billion of its R&D budget to get to this point, and this is the first of many Volta GPUs and processors. Volta has 5120 Cuda cores and can perform 7.5 FP64 TFLOPS or 15 FP32 TFLOPS.

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 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.

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 ...

At NVIDIA 's (NASDAQ: NVDA) GPU Technology Conference, the company announced a new product known as the Tesla V100, which is expected to ship in the.