![]() This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. They include two 2.2-GHz Xeon E5 processors and 128-Gbytes memory and draw 3,200 W to deliver up to 960 TFlops of 16-bit floating-point performance. national lab.Īs with past generations, Nvidia will supply not only chips, but its own systems, packing up to eight Voltas. They were joined by a technology leader from a U.S. “That would be an appropriate time to do it as AMD will be bringing out their highly anticipated Vega in Q3, and if it’s as good as many people think it will be, Nvidia can push back with its GTX-based Volta.”Įngineering managers from Amazon, Baidu, Facebook, Google, Microsoft, and Tencent released statements supporting Volta. “I think Nvidia will wait until late Q3 or early Q4 to bring out a graphics-only version of Volta,” said Jon Peddie, principal of Jon Peddie Research. “It could be that the 12-nm node offered faster time-to-market, but Volta is also a huge die and is pressing the limits of die area.” Mobile SoCs are racing into production with the 10-nm TSMC node, while the 12-nm node is based on a shrink of TSMC’s 16-nm process, Krewell noted. Nvidia was vague on why it chose the TSMC 12-nm node. “Although Volta is more efficient running deep-learning workloads, Nvidia didn’t compare it with Google’s TPU ASIC.” ![]() ![]() With its Tensor cores, Volta is “no longer a general-purpose GPU architecture, so Nvidia cannot be accused of using its GPU hammer and seeing every problem as a nail,” said Kevin Krewell, principal analyst at Tirias Research. Volta delivers 120 Tensor TFlops, 12 times the performance of Pascal on training jobs. The net result is a 50 percent performance boost over the Pascal chip that the company launched a year ago and started shipping last fall. The chip also packs new instructions enabling 4×4 matrix operations that are at the heart of 640 new Tensor cores in the chip. The Volta processors, called Tesla V100, can link to each other or to CPUs at 300 GBytes/s via an Nvidia proprietary NVLink. It is made in a 12-nm FinFET process at TSMC and is packaged with 16 GBytes of Samsung HBM2 memory running at 900 GBytes/second. Its 815-mm 2 Volta will pack 5,120 CUDA cores and 16-Mbytes cache to deliver 7.5 64-bit floating point TFlops. Nvidia is running as fast as possible to stay ahead. ![]()
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