Summary
Meta has rapidly developed four generations of custom MTIA chips (300-500) in just two years, releasing a new iteration roughly every six months using modular chiplet designs. These chips are specifically optimized for GenAI inference, a strategic shift from the training-first approach of competitors like Nvidia. This focus allows Meta to efficiently run its AI models at scale, reducing reliance on external hardware.
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