Meta’s Next-Gen AI Supercomputer

Since 2013, we have made significant strides in the field of AI, including self-supervised learning, where algorithms learn from numerous untagged examples and transformers, allowing AI models to infer more effectively by focusing on specific areas of their input. . Fully realizing the benefits of advanced AI will require training on much larger and more complex models in areas as diverse as vision, speech, and language, especially for critical use cases such as malicious content detection. In early 2020, we decided that the best way to accelerate progress would be to develop a new computing infrastructure, RSC.

With RSC, you can train models that use multimodal signals faster and determine if an action, sound, or image is harmful or benign. This research will not only help keep users of the current service safe, but will also help in the future to build for the Metaverse. As the RSC moves to the next phase, we plan to make it bigger and more powerful as we begin to lay the foundation for the Metaverse.