@rohanpaul_ai: Chamath on all important “prefill” and “decode.” in AI compute. Prefill is compute-bound; massive parallel GPUs win, so…
Summary
Chamath explains the two key phases of AI compute: prefill, which is compute-bound and favors parallel GPUs like Nvidia's, and decode, which is memory-bandwidth bound and depends on scanning previously generated tokens.
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Chamath on all important “prefill” and “decode.” in AI compute. Prefill is compute-bound; massive parallel GPUs win, so Nvidia dominates as context grows. Decode is memory-bandwidth bound as each next token depends on scanning what’s already generated https://t.co/8ev1DXSeTk
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