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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 15, 01:00 UTC

[Docs] Update the link to the 'Prometheus/Grafana' example (#21225)

Jiayi Yan committed Jul 19, 2025 at 21:58 UTC 6a971ed692974b3d6309d556b15c8cc726b091f9
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docs/design/v1/metrics.md
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@@ -61,7 +61,7 @@ These are documented under [Inferencing and Serving -> Production Metrics](../..
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62 ### Grafana Dashboard
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64 -vLLM also provides [a reference example](https://docs.vllm.ai/en/latest/examples/prometheus_grafana.html) for how to collect and store these metrics using Prometheus and visualize them using a Grafana dashboard.
64 +vLLM also provides [a reference example](https://docs.vllm.ai/en/stable/examples/online_serving/prometheus_grafana.html) for how to collect and store these metrics using Prometheus and visualize them using a Grafana dashboard.
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66 The subset of metrics exposed in the Grafana dashboard gives us an indication of which metrics are especially important:
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