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sglang/scripts/ci/slurm/nightly-configs.yaml
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2026-04-15 15:57:49 -07:00

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YAML

# Nightly benchmark configurations for srt-slurm powered runners.
#
# Structure mirrors InferenceX nvidia-master.yaml but only includes fields
# actually needed by the runner — prefill/decode topology details are already
# encoded in each srt-slurm recipe YAML and are not duplicated here.
#
# To add/remove concurrencies: edit conc-list for the relevant search-space entry.
# To add a new runner: add a new top-level block and create a corresponding
# nightly-test-<runner>.yml workflow.
# Never edit workflow YAML files directly for these changes.
dsr1-fp8-gb200-dynamo-sglang:
model: deepseek-ai/DeepSeek-R1-0528
model-prefix: dsr1
runner: gb200
precision: fp8
framework: dynamo-sglang
multinode: true
disagg: true
seq-len-configs:
- isl: 1024
osl: 1024
search-space:
- conc-list: [1024, 2048, 4096, 6144]
# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp8/1k1k/max-tpt.yaml
config_file: recipes/gb200-fp8/1k1k/max-tpt.yaml
- conc-list: [4096]
# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp8/1k1k/ultra-tpt.yaml
config_file: recipes/gb200-fp8/1k1k/ultra-tpt.yaml
dsr1-fp4-gb200-dynamo-sglang:
model: nvidia/DeepSeek-R1-0528-NVFP4-v2
model-prefix: dsr1
runner: gb200
precision: fp4
framework: dynamo-sglang
multinode: true
disagg: true
seq-len-configs:
- isl: 1024
osl: 1024
search-space:
- conc-list: [512, 2048, 4096, 8192]
# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp4/1k1k/mid-curve.yaml
config_file: recipes/gb200-fp4/1k1k/mid-curve.yaml