Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
47 lines
1.7 KiB
YAML
47 lines
1.7 KiB
YAML
# Nightly benchmark configurations for srt-slurm powered runners.
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#
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# Structure mirrors InferenceX nvidia-master.yaml but only includes fields
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# actually needed by the runner — prefill/decode topology details are already
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# encoded in each srt-slurm recipe YAML and are not duplicated here.
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#
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# To add/remove concurrencies: edit conc-list for the relevant search-space entry.
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# To add a new runner: add a new top-level block and create a corresponding
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# nightly-test-<runner>.yml workflow.
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# Never edit workflow YAML files directly for these changes.
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dsr1-fp8-gb200-dynamo-sglang:
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model: deepseek-ai/DeepSeek-R1-0528
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model-prefix: dsr1
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runner: gb200
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precision: fp8
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framework: dynamo-sglang
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multinode: true
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disagg: true
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seq-len-configs:
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- isl: 1024
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osl: 1024
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search-space:
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- conc-list: [1024, 2048, 4096, 6144]
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# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp8/1k1k/max-tpt.yaml
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config_file: recipes/gb200-fp8/1k1k/max-tpt.yaml
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- conc-list: [4096]
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# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp8/1k1k/ultra-tpt.yaml
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config_file: recipes/gb200-fp8/1k1k/ultra-tpt.yaml
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dsr1-fp4-gb200-dynamo-sglang:
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model: nvidia/DeepSeek-R1-0528-NVFP4-v2
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model-prefix: dsr1
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runner: gb200
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precision: fp4
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framework: dynamo-sglang
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multinode: true
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disagg: true
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seq-len-configs:
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- isl: 1024
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osl: 1024
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search-space:
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- conc-list: [512, 2048, 4096, 8192]
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# https://github.com/NVIDIA/srt-slurm/blob/sglang-nightly-regression/recipes/gb200-fp4/1k1k/mid-curve.yaml
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config_file: recipes/gb200-fp4/1k1k/mid-curve.yaml
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