Meta (previously Facebook) has just announced that it's working on a supercomputer designed for AI research. The computer will learn from trillions of examples.
Meta, formerly Facebook, has just announced that it’s working on a supercomputer with unprecedented artificial intelligence powers. A collaboration with Nvidia, the computer is said to one day be able to learn from trillions of examples.
Both Meta and Nvidia announced the ongoing progress on the supercomputer in respective blog posts, dubbed the Air Research SuperCluster or RSC for short. Meta has stated that RSC is among the fastest A.I. supercomputers built to date, but it’s still a work in progress. By the time it’s fully built, which will be around mid-2022, it will become the world’s fastest supercomputer.
RSC is said to one day be able to work on data sets as large as an exabyte. Most of us have never even heard of exabytes, and no wonder — one exabyte adds up to one billion gigabytes of data, which Meta says is the equivalent of 36,000 years of high-quality video. The best SSDs with 2TB of storage suddenly seem tinier than a grain of sand.
The computer is not quite ready yet, but it’s getting there. Nvidia has announced that during the course of this year, almost 10,000 GPUs will be added, for a total of 16,000, which may result in up to 5 exaflops of A.I. performance. RSC sounds like a true monster of a computer, but what does Meta really need it for?
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