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P/D disaggregation

[CHEATSHEET] Separate GPUs for Prefill and Decode.

Note:

  • In continuous batching, if prefill and decode and merged, then time is wasted for decode.
    • Prefill GPU occupancy ~ 90%
    • Decode GPU occupancy ~30% and limited by memory bandwidth.
  • Prefill prefers TP and DP parallelism.
  • Decode prefers PP.

Core idea of P/D disaggregation:

  • Schedule prefill and decode requests in separate GPUs.
  • 2P1D = 2 GPUs for prefill requests. 1 GPU for decode requests.
  • Prefill requests can be batched together.
  • Decode requests can be batched together in decode GPUs as well.
  • Results in better GPU usage.
P/D disaggregation
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