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Home/Glossary/Mixture-of-experts serving

Serving

Mixture-of-experts serving

What it is

Mixture-of-experts serving routes each token through a selected subset of available experts. Total parameter storage can greatly exceed the parameters active for one token.

Why it moves cost and latency

Memory must hold or fetch the expert pool even though computation touches only selected experts. Routing balance and cross-device token movement can determine realized utilization.

What it looks like in practice

Operators place experts across devices, set routing capacity, and observe token distribution under real prompts. They measure load skew, communication, cache use, and latency by expert path.

Related terms

  • Tokens per second->
  • Expert parallelism->
  • Model loading->
  • HBM->

Questions this definition answers

What does Mixture-of-experts serving mean in inference serving?

Mixture-of-experts serving routes each token through a selected subset of available experts. Total parameter storage can greatly exceed the parameters active for one token. Operators place experts across devices, set routing capacity, and observe token distribution under real prompts. They measure load skew, communication, cache use, and latency by expert path.

Why can Mixture-of-experts serving move cost or latency?

Memory must hold or fetch the expert pool even though computation touches only selected experts. Routing balance and cross-device token movement can determine realized utilization.

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