Add baseline configuration for performance comparison of llm-d#8
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oshfeder wants to merge 1 commit intollm-d-incubation:mainfrom
Open
Add baseline configuration for performance comparison of llm-d#8oshfeder wants to merge 1 commit intollm-d-incubation:mainfrom
oshfeder wants to merge 1 commit intollm-d-incubation:mainfrom
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Signed-off-by: Oshrit Feder <oshritf@il.ibm.com>
rachelt44
requested changes
Apr 16, 2026
| kubectl apply -f skills/compare-llm-d-configurations/llm-d-baseline-model-server-svc.yaml -n $NAMESPACE | ||
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| Or if that file is not available locally, create it inline: |
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The file is always available locally, it is part of the skill. No need to repeat it here,.
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| ### 0.5 Check for Baseline Configuration | ||
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| If either run is labeled as "baseline" (doesnt use llm-d scheduling) or the user indicates one configuration is a baseline run, perform the following checks: |
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This assumes that the llm-d stack is already up and running, but we may want to deploy it using the skill, then create the service
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| If no endpoints exist, inform the user that pods with the label `llm-d.ai/inference-serving=true` must be running for the baseline service to work. Check the running pod labels, list them to the user and suggest which label to use for the sellector (update the baseline service accordingly). | ||
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| 4. **Set baseline base_url**: When running the benchmark for the baseline configuration (as Run A or as Run B), ensure the Run's config.yaml uses: |
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This part should be moved to the step that runs the benchmark
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| apiVersion: v1 | |||
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please move this yaml to a sub directory called scripts (or resources)
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Baseline configuration:
uses a new service endpoint (instead of lllm-d scheduling gateway)
runs on same model pods