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Home » News » Perlmutter Is The World’s Fastest AI Supercomputer with 6,144 Nvidia GPUs

On May 27, 2021, the technology giant Nvidia and the National Energy Research Scientific Computing Corporation (NERSC) launched what is known as the fastest artificial intelligence supercomputer in the world. Named after Saul Perlmutter.

Lawrence Berkeley, mother of pearl. Considered to be the fastest supercomputer to perform artificial intelligence (AI) tasks. Nvidia’s head of product marketing revealed details about Perlmutter in an official blog post. Harris stated that Perlmutter is “the fastest system in the world” for processing workloads, including 16-bit and 32-bit mixed precision math for various artificial intelligence applications.

However, first, Perlmutter should create the largest 3D map in the world. Before we turn to other artificial intelligence projects, our universe. In addition, this year, in the second development phase, researchers will add more artificial intelligence computing capabilities to the system.

In one project, the supercomputer will help assemble the largest 3D map of the visible universe to date. It will process data from the Dark Energy Spectroscopic Instrument (DESI), a kind of cosmic camera that can capture as many as 5,000 galaxies in a single exposure,” wrote Dion Harris in the blog post.

The Perlmutter packages 6,144 Nvidia A100 Tensor Core GPUs now, coming to the computer’s interiors. Well, for a moment, let this sink in!

So, the system can do many of the most challenging AI-based jobs with over six thousand Nvidia GPUs. It is anticipated to allow 4 mixed precision computing performance exaflops for AI-based scientific research to more than 7,000 NERSC researchers.

“Traditional supercomputers can barely handle the math required to generate simulations of a few atoms over a few nanoseconds with programs such as Quantum Espresso. But by combining their highly accurate simulations with machine learning, scientists can study more atoms over longer stretches of time,” said Wahid Bhimji, the acting head of NERSC’s data and analytics services team.

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