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Meta announces the largest supercomputer to develop artificial intelligence

Meta announced through a post by Mark Zuckerberg, the company's chief executive, that it has built a "super artificial intelligence computer," a very fast computer designed to train and enhance machine learning systems, according to a release on Monday.

Mr Zuckerberg said: "Meta has developed what we believe is the fastest artificial intelligence supercomputer in the world.. "We call it RSC, which is short for research Supercluster and will be completed later this year.

Artificial intelligence research has become central to giant companies like Meta, and its competitors, including Nevada and Microsoft, have published ambitious designs for their "supercomputer" systems, which are different from the traditional concept of supercomputers.

RSC will have a wide range of applications to work on, including augmented reality applications that will eventually appear in the company's AR devices, and even content editing algorithms that detect "hate speech" on Instagram and Facebook.

Meta will use RSC to develop new services on "Metaverse", the virtual world that the company plans to develop.

“RSC helps meta AI researchers create new AI models that can learn from trillions of examples, work in hundreds of different languages, parse text, images and video seamlessly together, blog post. 

“We hope that RSC will help create entirely new artificial intelligence systems. For example, you can play subtitles to many people, each speaking their own language, so you can collaborate seamlessly  on a research project or play a computer. We play games together,” he said.

This project began a year and a half ago, when meta engineers began working on various systems that support super AI. This means designing power, cable, network and cooling systems.

The first stage of the "RSC" is already completed, it has 760 systems, consisting of 6080 connected GPUs.

This setup has already improved performance compared to traditional computer searches by 20-fold, according to the company.

But the biggest ambition is for the company to complete the second phase of RSC before the end of 2022. By then, he will have almost 16 thousand total GPUs, which will enable him to train artificial intelligence systems.

This may seem like just a set of numbers, but the real benefit of supercomputers lies in their applications, not in theoretical speed or peak performance.

Meta will start creating new systems, trying to improve its algorithms to reconcile its users. And if this happens, meta may become a frightening force for competitors such as "Apple","Google" and"Microsoft" .