Meta develops AI Supercomputer, touted to be world’s fastest by 2022-end
Facebook's parent company Meta announced on Monday that it has developed one of the world's fastest artificial intelligence supercomputers.
The social media conglomerate hopes that the machine will contribute to the development of the metaverse, a virtual reality construct that will eventually replace the Internet as we know it.
Meta, the latest technology company to develop a high-speed computer designed to train machine learning systems, claims that its new AI Research SuperCluster or RSC is already among the fastest machines of its kind and will be the fastest in the world when completed in mid-2022.
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In a statement, Meta CEO Mark Zuckerberg remarked, “Meta has developed what we believe is the world’s fastest AI supercomputer. We’re calling it RSC for AI Research SuperCluster and it’ll be complete later this year."
Supercomputers are extremely fast and powerful machines designed to perform complex calculations that a typical home computer cannot do. Meta did not reveal the location of the computer or the cost of its construction.
Supercomputers are extremely fast and powerful machines designed to perform complex calculations that a typical home computer cannot do. Meta did not reveal the location of the computer or the cost of its construction.
The AI Research SuperCluster is a computer that is already up and running but is currently being developed. Meta claims it will assist its AI researchers in developing "new and better" artificial intelligence models that can learn from "trillions" of examples, work across hundreds of languages at once, and analyse text, images, and video all at the same time.
“RSC will help Meta’s AI researchers build new and better AI models that can learn from trillions of examples; work across hundreds of different languages; seamlessly analyze text, images, and video together; develop new augmented reality tools; and much more,” said Meta engineers.
The company claims that its supercomputer will incorporate “real-world examples” from its own systems into training its AI, adding that the previous efforts used only open-source and other publicly available data sets.
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-PTC News