AMD acquires Toronto-based Taalas, which integrates model weights directly into silicon to boost inference performance, for an undisclosed sum
THE SO WHAT
Baking model weights into silicon for up to 17,000 tokens/second is a bet that some AI workloads will be stable enough to harden, not endlessly re-train. If you own a large, relatively fixed model in production, start asking vendors about model-specific silicon roadmaps and lock-in tradeoffs.
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