GB300 SGLang disagg #1226
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…4096) Adds the max-throughput DSV4-Pro SGLang disaggregated recipe for GB300 (7 prefill + 2 decode nodes, DeepEP, mooncake transfer). Derived from Job 564 on gb300-cw which achieved 358,890 total_token_throughput (9,969 tok/s/gpu) on 9 GB300 nodes. Files: - Recipe: sglang/deepseek-v4/8k1k/disagg-gb300-7p1d-dep4-dep8.yaml - CI config: nvidia-master.yaml (dsv4-fp4-gb300-dynamo-sglang, conc=4096) - Runner: launch_gb300-cw.sh + runners.yaml gb300-cw entry - Changelog: perf-changelog.yaml entry - Eval skip: generate_sweep_configs.py (gb300-cw lacks eval path)
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/sweep test-config --config-files .github/configs/nvidia-master.yaml --config-keys dsv4-fp4-gb300-dynamo-sglang |
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@yhyang201 Kicking off a sweep. Run: https://github.com/SemiAnalysisAI/InferenceX/actions/runs/25120673375 |
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GB300 SGLang disagg
conc=4096