A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 14, 05:30 UTC
[Doc] Fix minor issues in docs/design/metrics.md (#27436)
Signed-off-by: Lifan Shen <lifans@meta.com>
Lifans committed
Oct 24, 2025 at 05:40 UTC
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docs/design/metrics.md
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@@ -52,7 +52,7 @@ These are documented under [Inferencing and Serving -> Production Metrics](../us
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### Grafana Dashboard
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-vLLM also provides [a reference example](../examples/online_serving/prometheus_grafana.md) for how to collect and store these metrics using Prometheus and visualize them using a Grafana dashboard.
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+vLLM also provides [a reference example](../../examples/online_serving/prometheus_grafana/README.md) for how to collect and store these metrics using Prometheus and visualize them using a Grafana dashboard.
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The subset of metrics exposed in the Grafana dashboard gives us an indication of which metrics are especially important:
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