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When Meta realized that GPUs were not always optimal for running their specific recommendation workloads at the levels of efficiency required at scale, they designed MTIA v1, a first-generation AI inference accelerator. Dive into the specifications and software stack behind this custom chip, part of a co-designed full-stack solution that includes silicon, PyTorch, and the recommendation models: https://bit.ly/44IltCy | Meta for Developers
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A closer look at the architecture of Meta's first-generation AI inference accelerator. MTIA v1 is a custom-designed ASIC built with next-generation recommendation model requirements in mind. Additional information and an extended video available on the Meta AI page. We'll be sharing even more on this work at #ISCA2023. | AI at Meta
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