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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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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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