Meta, formerly known as Facebook, has announced the launch of its next-generation custom-made chips designed to revolutionize its AI infrastructure. These chips represent a significant advancement over the previous generation, enhancing performance and powering Meta’s ranking and recommendation ads models on Facebook and Instagram. Read here for the official release
The new chips are a part of Meta’s continued investment in AI infrastructure, these chips are designed to deliver new and improved experiences across its apps and technologies. With a focus on supporting new generative AI products, recommendation systems, and advanced AI research, Meta is paving the way for future innovation in AI-driven applications.
Last year, Meta introduced its Meta Training and Inference Accelerator (MTIA) v1, the first-generation AI inference accelerator tailored for Meta’s deep learning recommendation models. This initiative reflects Meta’s commitment to efficiency and innovation, ensuring the best experiences for users worldwide.
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The next generation of MTIA builds upon its predecessor, doubling the compute and memory bandwidth while maintaining close ties to Meta’s workloads. This new chip architecture prioritizes the right balance of computing, memory bandwidth, and capacity, specifically catering to ranking and recommendation models.
Designed to efficiently serve ranking and recommendation models, the new MTIA chip strikes the right balance between compute, memory bandwidth, and capacity. Its architecture enables Meta to achieve greater efficiency compared to commercially available GPUs, ensuring optimal performance for both low and high-complexity AI models.
Meta’s ongoing investment in custom silicon underscores its dedication to building and scaling the most powerful and efficient infrastructure for its AI workloads. With plans to expand MTIA support for GenAI workloads and integrate with future hardware advancements, Meta is poised to lead the way in AI innovation.
As Meta continues its journey in developing custom silicon, the possibilities for enhancing AI capabilities and driving new user experiences are limitless. Stay tuned for further updates as Meta continues to push the boundaries of AI technology.
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