InferPilot
github.com/poojithdevan4d/inferpilot- Category
- Developer Tools
- Rank
- No. 2196Tools index
Previous survey · No. 2093 ·
- Pricing
- Open Source
- Type
- TOOL
- Use case
- Models: Train & Run · Deployment & Operations
- GitHub
- 3 stars
- Latest release
- v0.1.0
- Date
About
InferPilot reads a running vLLM server's live Prometheus metrics and diagnoses the real inference bottleneck, including whether a change such as fp8 KV cache will help or do nothing. It diagnoses only when aligned evidence supports a conclusion and otherwise abstains. It is MIT-licensed with no telemetry.
At a glance
InferPilot reads vLLM server metrics and suggests which performance experiment to run next. It is worth consulting if high GPU utilization alone cannot tell you whether a cache or batching change deserves a benchmark.
Good fit
People operating vLLM who have metrics and can run a controlled comparison before changing production settings.
Consider something else when
Skip it if you need an automatic tuner or cannot collect measurements under a representative load.
Start here
Start with the public interactive demo. Compare a cache-pressured scenario with an unpressured one and note how the suggested experiment changes. For a later trial, compare your current setup with one candidate under the same workload.
Cost and requirements
MIT-licensed. The live screening command needs access to the vLLM Prometheus metrics endpoint. Controlled performance tests need a representative workload and compute.
Limits to know
Screening gives you a hypothesis, not a measured gain. The authors reported a throughput gain in one cache-pressured workload while their proposed explanation was not confirmed.
Sources checked 2026-11-05. Source-based assessment.
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