Once it is fully built around the middle of the year, the AI supercomputer will be the fastest in the world
Meta, the parent company of Facebook, said on Monday, it has created an (artificial intelligence) AI supercomputer, which the company believes is among the fastest AI supercomputers running today.
The social media giant said it hopes the machine will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today.
Facebook said it believes, once it is fully built around the middle of the year, the AI supercomputer will be the fastest in the world.
Supercomputers are extremely fast and powerful machines built to do complex calculations not possible with a regular home computer. Meta did not reveal the location of the computer and the cost involved to build it.
The AI supercomputer, which is already up and running but is still being built, is called AI Research SuperCluster. Meta says it will help its AI researchers build “new and better” artificial intelligence models that can learn from “trillions” of examples and work across hundreds of different languages simultaneously and analyse text, images and video together.
The way Meta is defining the power of its AI supercomputer is different from how conventional and more technically powerful supercomputers are measured because it relies on the performance of graphics-processing chips, which are useful for running “deep learning” algorithms that can understand what’s in an image, analyse text and translate between languages, said Tuomas Sandholm, a computer science professor and co-director of the AI centre at Carnegie Mellon University.
“We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together”, Meta said in a blog post.
The company said its AI supercomputer will incorporate “real-world examples” from its own systems into training its AI. It says its previous efforts used only open-source and other publicly available data sets.
“They are going to, for the first time, put their customer data on their AI research computer”, Sandholm said. “That would be a really big change to give AI researchers and algorithms access to all that data”.
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