Learn how to configure and activate the component for Nvidia GPU.

1. Install the Splunk Distribution of the OpenTelemetry Collector for Kubernetes using Helm.
2. To activate the Prometheus receiver for the NVIDIA DCGM Exporter manually in the Collector configuration, make the following changes to your configuration file:
   1. Add receiver_creator to the receivers section. For more information on using the receiver creator receiver, see Receiver creator receiver.
   2. Add receiver_creator to the metrics pipeline of the service section.
   Example configuration file:

   agent:
     config:
       receivers:
         receiver_creator:
           watch_observers: [ k8s_observer ]
           receivers:
             prometheus:
               config:
                 config:
                   scrape_configs:
                     - job_name: gpu-metrics
                       static_configs:
                         - targets:
                             - '`endpoint`:9400'
                rule: type == "pod" && labels["app"] == "nvidia-dcgm-exporter"
       service:
         pipelines:
           metrics/nvidia-gpu-metrics:
             exporters:
               - signalfx
             processors:
               - memory_limiter
               - batch
               - resourcedetection
               - resource
             receivers:
               - receiver_creator
   

3. Restart the Splunk Distribution of the OpenTelemetry Collector.

Learn how to navigate to the Nvidia GPU navigator, which you can use to monitor the performance of NVIDIA GPUs.

1. From the Splunk Observability Cloud main menu, select Infrastructure.
2. Under AI/ML, select AI Frameworks.
3. Select the NVIDIA GPU summary card.