From one GPU to millions of users: lessons in LLM inference system design
metalvendetta · reddit · 2026-09-24
An engineer who worked with inference providers serving millions of users shares a blog on the gap between local single-GPU LLM setups and production scale: multi-node weight sharing, caching, autoscaling and routing — skills hard to learn by renting GPUs yourself. He argues inference system design is in high demand and agents can't yet fully automate it.
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