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LMBench: Kubernetes-based Online Benchmarking.

Dashboard (lmbench.dev) to view/filter and submit latest results (if you run locally, if you run on the LMCache Runner, results will automatically show up).

Dashboard Front Page Filter Results Upload Results

Running Benchmarks

Step 1:

Write out your bench-spec.yaml with what Infrastructure, Serving Baseline, and Workload you are using. Reference bench-spec-TEMPLATE.yaml for configuration.

Step 2:

Option 1 (Recommended): Submit a PR (or directly push if you have access) to LMCache/LMBench. You must have Location: LMCacheGKE set. There is only a single runner so your benchmark job may be queued.

Option 2: Clone to run on your local machine. You must have Location: LocalMinike set. Dependencies for local installation are in requirements.txt

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  • Python 75.6%
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