By comparison, today’s Pascal GPU flagship, the 14nm Tesla P100, offers 3,840 CUDA cores and 15 billion transistors. The GeForce GTX 1060 has a quarter as many CUDA cores as the Tesla V100, at ...

In addition, V100 also features 672 tensor cores (TCs), ... Feeding the V100 GPU is 16GB of HBM2 memory clocked at 1.75GHz on a 4096-bit bus for 900GB/sec of bandwidth.

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 ...

Inside, Tesla V100 rocks the company's next-gen Volta GPU architecture with a huge 5120 CUDA cores at 1455MHz boost clock, on the fresh new 12nm manufacturing process - something we reported on a ...

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 Tensor Core GPU architecture allows us to simultaneously provide greater performance than single-function ASICs, yet be programmable for diverse workloads. For instance, each Tesla V100 Tensor ...

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 ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video ...