We're sharing new details about Meta Training and Inference Accelerator (MTIA), our family of custom-made chips designed for Meta’s AI workloads. Meta's large-scale infrastructure is being built with AI in mind. Read more about the next generation of MTIA: https://bit.ly/4dvmrXI | Meta for Developers
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📈 Introducing MTIA — Meta's first-generation AI inference accelerator. More details ➡️ https://bit.ly/3BBEz0A MTIA stands for Meta Training and Inference Accelerator, the first generation of this family of chips is a custom-designed ASIC built with next-generation recommendation model requirements in mind. The accelerator is built on TSMC's 7nm process at a 25W TDP and provides 102.4 TOPS at INT8 precision and 51.2 TFLOPS at FP16 precision. This work is a part of a full-stack solution that incl
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Meta's AI Translations Inference | Sravan Rekula, Jordi Cenzano, Amisha Jaiswal In this talk we will show how we implemented a media processing pipeline to perform (autodub / lipsync) media inference at Meta scale. We will focus on the challenges we faced from a media processing / scaling point of view, such as: inference latency and scheduling, voice isolation, media timing/alignment, alternate tracks delivery, instrumentation, model evaluation, etc | At Scale | Facebook
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25K views · 314 reactions | 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 | Facebook
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25K views · 314 reactions | A closer look at the architecture of Meta's fi…
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Meta’s open source AI enables start-ups, students, researchers and more to download and build with our models at no cost. | Meta
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Learn how Meta implemented a media processing pipeline to perform (autodub/lipsync) media inference, at scale! Tune in for “Meta's AI Translations Inference” by Jordi Cenzano, Sravan Rekula, and Amisha Jaiswal from Meta Watch the session at Video @Scale on November 20 and 21, 2024. Register at atscaleconference.com! | At Scale | Facebook
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Learn how Meta implemented a media processing pipeline to perf…
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