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docs: fix outdated GPU telemetry documentation link in README.md #208

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8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ Note: Consider using the [NVIDIA GPU Operator](https://github.com/NVIDIA/gpu-ope

Ensure you have already setup your cluster with the [default runtime as NVIDIA](https://github.com/NVIDIA/nvidia-container-runtime#docker-engine-setup).

The recommended way to install DCGM-Exporter is to use the Helm chart:
The recommended way to install DCGM-Exporter is to use the Helm chart:
```
$ helm repo add gpu-helm-charts \
https://nvidia.github.io/dcgm-exporter/helm-charts
Expand All @@ -42,8 +42,8 @@ $ helm repo update
```
And install the chart:
```
$ helm install \
--generate-name \
$ helm install \
--generate-name \
gpu-helm-charts/dcgm-exporter
```

Expand Down Expand Up @@ -72,7 +72,7 @@ DCGM_FI_DEV_MEMORY_TEMP{gpu="0", UUID="GPU-604ac76c-d9cf-fef3-62e9-d92044ab6e52"
...

```
To integrate DCGM-Exporter with Prometheus and Grafana, see the full instructions in the [user guide](https://docs.nvidia.com/datacenter/cloud-native/kubernetes/dcgme2e.html#gpu-telemetry).
To integrate DCGM-Exporter with Prometheus and Grafana, see the full instructions in the [user guide](https://docs.nvidia.com/datacenter/cloud-native/gpu-telemetry/latest/).
`dcgm-exporter` is deployed as part of the GPU Operator. To get started with integrating with Prometheus, check the Operator [user guide](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/getting-started.html#gpu-telemetry).

### Building from Source
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