Supercomputers are extremely fast and powerful machines. On Monday, Facebook’s parent company, Meta, announced the creation of one of the world’s fastest artificial intelligence supercomputers.
The social media titan thinks that the device will help to advance the metaverse, a virtual reality construct that will eventually replace the Internet as we know it.
Facebook expects the computer to be the fastest in the world when it is ready around the middle of the year.
Supercomputers are fast and powerful machines designed to perform complex calculations that a typical home computer cannot. Meta did not reveal the location or the cost of its construction.
The AI Research SuperCluster is a computer that is already up and running but gets currently developed. Meta claims it will assist its AI researchers in developing “new and better” artificial intelligence models that can learn from “trillions” of samples, work across hundreds of languages at once, and analyze text, photos, and video all at the same time.
It is reliant on graphics-processing-chip performance. It is required to run “deep learning” algorithms that know objects in images, interpret text, and translate across languages. Meta measures its computer’s strength differently than other, more technically powerful supercomputers. Tuomas Sandholm is a computer science professor at Carnegie Mellon University and the co-director of the AI center.
In a blog post, Meta stated, “We hope RSC will enable us to construct new AI systems that can, for example, provide real-time voice translations to big groups of people speaking multiple languages. So they can seamlessly collaborate on a research project or play an AR game together.”
The corporation claims that in training its AI, its supercomputer will use “real-world instances” from its systems. It also claims to have used exclusively open-source and publicly available data sets in the past.
“They’re going to put their consumer data on their AI research machine for the first time,” Sandholm said. “Giving AI researchers and algorithms access to all that data would be a huge change.”
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