Next-gen NVIDIA GPUs 70-75 percent faster for deep learning?

Posted on Monday, Feb 03 2020 @ 21:11 CET by Thomas De Maesschalck
Late last week, news hit the web that the future Cray "Shashta" supercomputer of Indiana University (IU) will feature next-gen NVIDIA GPUs. The first-phase of the supercomputer, which is codenamed "Big Red 200", involves the installation of 672 dual-socket nodes with AMD EPYC 7742 "Rome" processors.

Where it gets interesting is that the second phase (slated for this Summer) will involve the installation of more EPYC nodes, which will be used in combination with next-gen NVIDIA Tesla GPUs. Big Red 200 promises up to 6 petaflops of computing power.

Brad Wheeler, IU vice president for IT and chief information officer, told The Next Platform that an opportunity presented itself to wait a little longer to implement NVIDIA's latest technology. The report from Next Platform mentions that the new NVIDIA chips are 70-75 percent faster than the current-generation, but it's not clear whether that is a direct quote from Wheeler or speculation on the website's part.
According to The Next Platform who are quoting Wheeler, the addition of new GPUs was “something of a fluke”, because “an opportunity presented itself to wait a bit longer and move up to Nvidia’s newer technology“.

The original plan for Big Red 200 was to use Tesla V100 (Volta) processors, but IU ended up buying a smaller number of next-Gen GPUs from NVIDIA, which are expected to deliver total computing power to 8 petaflops from original 5.9.
Below is a video of the installation of the first-phase of the Big Red 200 supercomputer.

Via: VideoCardz

About the Author

Thomas De Maesschalck

Thomas has been messing with computer since early childhood and firmly believes the Internet is the best thing since sliced bread. Enjoys playing with new tech, is fascinated by science, and passionate about financial markets. When not behind a computer, he can be found with running shoes on or lifting heavy weights in the weight room.

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