Developing the next generation of advanced AI will require powerful new computers capable of quintillions of operations per second. Today, Meta is announcing that we've designed and built the AI Research SuperCluster (RSC) -- which we believe is among the fastest AI supercomputers running today and will be the fastest AI supercomputer in the world when it's fully built out in mid-2022. Our researchers have already started using RSC to train large models in natural language processing (NLP) and computer vision for research, with the aim of one day training models with trillions of parameters. 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. Our researchers will be able to train the largest models needed to develop advanced AI for computer vision, NLP, speech recognition, and more.

Get exclusive access to writing opportunities and advice in our community Discord. Meta is building a gigantic supercomputer called AI Research SuperCluster to train artificial intelligence models. Meta claims that it would be the fastest Super Computer in the world when it's completely prepared in mid-2022. Meta said it will have 16,000 GPU's (graphical processors) -- and will be capable of five exaflops of computing performance -- that's 5 quintillion operations per second. Meta said its researchers have begun using the supercomputer to train large models related to natural-language processing & computer vision -- and researchers will be able to use the supercomputer to "seamlessly analyze text, images & video together" and come up with new augmented reality tools.

In June last year Tesla unveiled it AI supercomputer. At the time it was the (5th most powerful in the world) to train self-driving AI. It is being used to train the neural nets powering Tesla's Autopilot and upcoming self-driving AI called Dojo supercomputer. Six months later not to be undone Meta has a similar plan. So why are BigTech companies working on supercomputers to train AI? Social media conglomerate Meta is investing around $10 billion a year on the Metaverse, but it needs better AI to power that Metaverse dream as well.

Mark Zuckerberg's Meta (formerly known as Facebook) is working overtime to make his metaverse dreams come true. The company's metaverse platform "Horizon Worlds" is already live and ready to welcome a new generation of internet capabilities. Now, it appears that Meta has built an AI supercomputer that may become "the world's fastest" to support its metaverse. The company has reportedly made the artificial intelligence supercomputer to support the next generation of machine learning. According to Meta, it will become the world's fastest supercomputer by the end of 2022.

Pure Storage (NYSE: PSTG), the IT pioneer that delivers storage as a service in a multicloud world, today announced its role in Meta's new AI Research SuperCluster (RSC), which Meta believes will be the fastest AI supercomputer in the world. Just announced, RSC is helping Meta's AI researchers build new and better AI models that can learn from trillions of examples, work across hundreds of different languages, seamlessly analyse text, images and video together, develop new augmented reality tools and much more. RSC will pave the way towards building technologies for Meta's next major computing platform, the metaverse, where AI-driven applications and products will play an important role. Meta chose Pure as it needed a storage partner that can deliver robust and scalable storage capabilities to power RSC. With FlashArray and FlashBlade, RSC will have unparalleled performance to rapidly analyse both structured and unstructured data, underpinned by Pure's foundation of simplicity, reliability and sustainability.

Today we're introducing the AI Research SuperCluster (RSC), which we believe is among the fastest AI supercomputers running today and will be the fastest in the world once fully built out in mid-2022. AI can currently perform tasks like translating text between languages and helping identify potentially harmful content, but developing the next generation of AI will require powerful supercomputers capable of quintillions of operations per second. RSC will help Meta's AI researchers build 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 more. Ultimately, the work done with RSC will pave the way toward building technologies for the next major computing platform -- the metaverse, where AI-driven applications and products will play an important role. Since 2013, we have been making significant strides in AI, including self-supervised learning, where algorithms can learn from vast numbers of unlabeled examples and transformers, which allow AI models to reason more effectively by focusing on certain areas of their input.

Social media conglomerate Meta is the latest tech company to build an "AI supercomputer" -- a high-speed computer designed specifically to train machine learning systems. The company says its new AI Research SuperCluster, or RSC, is already among the fastest machines of its type and, when complete in mid-2022, will be the world's fastest. "Meta has developed what we believe is the world's fastest AI supercomputer," said Meta CEO Mark Zuckerberg in a statement. "We're calling it RSC for AI Research SuperCluster and it'll be complete later this year." The news demonstrates the absolute centrality of AI research to companies like Meta.