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Sam said yesterday that chatgpt handles ~700M weekly users. Meanwhile, I can&#x27;t even run a single GPT-4-class model locally without insane VRAM or painfully slow speeds.<p>Sure, they have huge GPU clusters, but there must be more going on - model optimizations, sharding, custom hardware, clever load balancing, etc.<p>What engineering tricks make this possible at such massive scale while keeping latency low?<p>Curious to hear insights from people who&#x27;ve built large-scale ML systems.

Ask HN: How can ChatGPT serve 700M users when I can't run one GPT-4 locally?

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