Nvidia has suggested a new Volta technology, that follows on from a current-gen Pascal graphics cards, along with a initial ever GPU to use a tech: a Tesla V100.
As those informed with Nvidiaâ€™s fixing conventions will realize, this is a heavyweight GPU targeted during information core use and high-performance computing (as against to consumer PCs).
However, Nvidia envisages it bringing a whole new turn of energy to a locus of synthetic comprehension and associated AI services, that will assistance to severely accelerate a strength of things all of us will use like digital assistants, or advances in self-driving vehicles.
Plus a new GPU gives us a good thought of accurately what Volta is able of, and in short, itâ€™s massively powerful.
Volta is Nvidiaâ€™s seventh-generation GPU architecture, and represents zero reduction than a fivefold opening alleviation compared to Pascal in terms of rise teraflops. And in comparison to Maxwell, Pascalâ€™s predecessor, weâ€™re looking during a 15x boost.
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The new record combines CUDA cores with Volta Tensor Cores, a latter of that are privately designed to speed adult AI workloads really effectively. Indeed, a singular Tesla V100 GPU is apparently able of replacing â€˜hundreds of commodity CPUsâ€™ when it comes to high-performance computing.
The Tesla V100 is built on a 12nm routine and boasts some 21 billion transistors, with 5,120 CUDA cores alongside 640 Tensor Cores. In terms of low training performance, Nvidia says it hits 120 teraflops. Single-precision discriminate opening is 15 teraflops.
The GPU also utilizes 16GB of HBM2 DRAM with 900GB/s memory bandwidth, that is 50% some-more bandwidth than a prior generation. Power expenditure is 300W.
Nvidiaâ€™s uninformed explanation here comes forward of AMDâ€™s next-gen Vega launch, with a new Radeon cards expected to be denounced subsequent month.
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