Nvidia made a slew of supercomputer-related announcements today at the International Supercomputing Conference in Germany. They announced that Japan's fastest supercomputer adopted its Nvidia GPU Cloud (opens in new tab) offering, that it developed the world's 22nd-fastest supercomputer (opens in new tab) to help it make self-driving cars and plans to add support for Arm processors (opens in new tab) to its software by the end of the year.
That last announcement could be the most important. The company said it's bringing the "full stack" of artificial intelligence (AI) and high-performance computing (HPC) software, which "accelerates more than 600 HPC applications and all AI frameworks" to the Arm ecosystem. That means Nvidia's effectively making its software hardware-agnostic by letting supercomputer makers use x86 offerings from Intel and AMD or Arm processors at their discretion.
“Supercomputers are the essential instruments of scientific discovery, and achieving exascale supercomputing will dramatically expand the frontier of human knowledge," Nvidia CEO Jensen Huang said in the company's announcement. "As traditional compute scaling ends, power will limit all supercomputers. The combination of Nvidia's CUDA-accelerated computing and Arm’s energy-efficient CPU architecture will give the HPC community a boost to exascale.”
That may sound like a bunch of gobbledygook, but it signals Nvidia's intention of competing against Intel and AMD--as well as benefiting from their success--when it comes to exascale supercomputers. Intel announced in March that its Xe graphics would power the first exascale supercomputer; AMD followed that announcement in May by saying its chips would power the fastest exascale supercomputer.
What's an Exascale Computer?
Exascale computers are devices capable of processing at least one exaFLOP per second. That's a quintillion -- or a billion billion -- operations. That much power requires advanced hardware, sure, but it also relies on software designed specifically to handle such a massive undertaking. Nvidia wants to offer both via its GPUs and the software it's expanding to Arm.
Nvidia said that software includes "all Nvidia CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers." The breadth of the company's software offering combined with the performance offered by its GPUs has reportedly led Nvidia to power 22 of the world's 25 most energy-efficient supercomputers.