Meta

Introducing Meta’s Next-Gen AI Supercomputer

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.

Why We Need AI at This Scale

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. 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, we decided the best way to accelerate progress was to design a new computing infrastructure — RSC.

Using RSC to Build for the Metaverse

With RSC, we can more quickly train models that use multimodal signals to determine whether an action, sound or image is harmful or benign. This research will not only help keep people safe on our services today, but also in the future, as we build for the metaverse. As RSC moves into its next phase, we plan for it to grow bigger and more powerful, as we begin laying the groundwork for the metaverse.

Learn more about our AI Research SuperCluster.