Principle:LMCache LMCache Disaggregated Prefill Prerequisites
| Knowledge Sources | |
|---|---|
| Domains | Infrastructure, Deployment |
| Last Updated | 2026-02-09 00:00 GMT |
Overview
A validation pattern that checks hardware, software, and network prerequisites before deploying disaggregated prefill-decode inference.
Description
Disaggregated Prefill Prerequisites ensures that all requirements are met before separating prefill and decode across GPU pools. This includes verifying GPU availability (minimum 2 GPUs for 1P1D), installed Python packages (lmcache, vllm, nixl, zmq, httpx), HuggingFace authentication tokens, and network connectivity between nodes.
Usage
Run these checks before any disaggregated prefill deployment. The checks are implemented as shell script assertions in the orchestration scripts.
Theoretical Basis
Disaggregated prefill requires:
- Compute: Separate GPU pools for prefill (compute-intensive) and decode (memory-bandwidth-intensive)
- Network: High-bandwidth interconnect (NIXL/RDMA) for KV cache transfer
- Software: Compatible versions of vLLM, LMCache, and NIXL
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