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Re:Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed fr... by jmolinski on Wednesday September 09, 2026 @03:31AM (#49622653)
No, not really, current MoE limit the computation, not memory requirements. Router experts are not "sticky" enough to achieve what robrenaud describes - they'd have to be chosen per prompt, or at least per chunk, not per token.
Re:Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed fr... by greazy on Wednesday September 09, 2026 @06:00AM (#49623927)
What is "sticky" in this context?
Re:Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed fr... by robrenaud on Wednesday September 09, 2026 @11:53AM (#49628581)
Experts vary per token in MoE, there is maximum flexibility. Good for driving down loss, bad for locality/gpu memory/bandwidth.

If expert selection were more constrained, inference systems could take advantage of it. Keeping experts cached would mean not needing to load them from disk/ram every token.