inference/research
verifiedhigh · 0.90updated 2026-10-03

Pipeline Parallelism in SGLang: Scaling to Million-Token Contexts and Beyond (LMSYS Blog)

blog

Fields

id
sources/bench-lmsys-chunked-pipeline-ttft
Publisher
LMSYS Org
Kind
blog
Published
2026-01-15
Accessed
2026-10-03
notes
SGLang Chunked Pipeline Parallelism (CPP) with async P2P communication and dynamic chunking. DeepSeek-V3.1 on H20: PP4 TP8 yields 3.31x prefill throughput vs TP8 (chunk size 12K), outperforming TP32 by 30.5%. Up to 67.9% TTFT reduction with 82.8% strong scaling efficiency. Qwen3-235B-A22B-FP8 on H20 with PP8: up to 81% TTFT reduction for ultra-long prompts. Compatible with PD disaggregation and HiCache.

Notes

SGLang Chunked Pipeline Parallelism (CPP) with async P2P communication and dynamic chunking. DeepSeek-V3.1 on H20: PP4 TP8 yields 3.31x prefill throughput vs TP8 (chunk size 12K), outperforming TP32 by 30.5%. Up to 67.9% TTFT reduction with 82.8% strong scaling efficiency. Qwen3-235B-A22B-FP8 on H20 with PP8: up to 81% TTFT reduction for ultra-long prompts. Compatible with PD disaggregation and HiCache.

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