Meta has introduced the AI Research SuperCluster (RSC), a supercomputer designed to accelerate AI research and development of the metaverse.
Meta mentions RSC will help build new and better AI models, work across hundreds of different languages, develop new augmented reality tools, and more.
AI Research SuperCluster (RSC), is believed to be 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 different languages; 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.
The development of AI at Meta has been ongoing since 2013, including self-supervised learning, where algorithms can learn from vast numbers of unlabeled examples and transformers, which allow AI models to reason by focusing on certain areas of their input. To fully realize the benefits of advanced AI, various domains, whether vision, speech, language, will require training increasingly large and complex models, especially for critical use cases like identifying harmful content. In early 2020, Meta decided the best way to accelerate progress was to design a new computing infrastructure — RSC.
The platform mentions RSC will help more quickly train models that use multimodal signals to determine whether an action, sound, or image is harmful or benign. As RSC moves into its next phase, Meta plans for it to grow as laying the groundwork for metaverse has begun.