vLLM explains PCP and DCP for serving GLM-5.3 on 16 H200s
AIThe vLLM team describes running GLM-5.3 on 16 H200s split into a prefill node and a decode node. Prefill Context Parallelism splits each prompt by token, and Decode Context Parallelism shards the KV cache so a 1M-token context fits.
AIWhy it matters.
The post explains why PCP and DCP suit sparse attention and KV cache limits, with benchmarks that show where each configuration holds up.
Source details
vLLM Blog · vLLM Team · vllm.aiPublished · added here
Original title: GLM-5.3 Optimizations, Part 2: PCP, DCP, and Hybrid HiSparse on 16 H200s