If `HF_TOKEN` is provided, it also creates a secret for HuggingFace model access.
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@@ -73,7 +67,6 @@ If `HF_TOKEN` is provided, it also creates a secret for HuggingFace model access
After running the setup script, verify the resources by checking:
```bash
kubectl get serviceaccount dynamo-sa -n$NAMESPACE
kubectl get pvc dynamo-pvc -n$NAMESPACE
```
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@@ -130,5 +123,4 @@ For complete benchmarking and profiling workflows:
## Notes
- Profiling job manifest remains in `benchmarks/profiler/deploy/profile_sla_job.yaml` and relies on the ServiceAccount/PVC created by the setup script.
- This setup is focused on benchmarking and profiling resources only - the main Dynamo platform must be installed separately.
@@ -326,7 +326,7 @@ The server-side benchmarking solution:
## Prerequisites
1.**Kubernetes cluster** with NVIDIA GPUs and Dynamo namespace setup (see [Dynamo Cloud/Platform docs](/docs/kubernetes/README.md))
2.**Storage and service account** PersistentVolumeClaim and service account configured with appropriate permissions (see [deploy/utils README](../../deploy/utils/README.md))
2.**Storage** PersistentVolumeClaim configured with appropriate permissions (see [deploy/utils README](../../deploy/utils/README.md))
3.**Docker image** containing the Dynamo benchmarking tools
## Quick Start
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@@ -489,7 +489,6 @@ kubectl describe pod <pod-name> -n $NAMESPACE
### Common Issues
1.**Service not found**: Ensure your DynamoGraphDeployment frontend service is running
2.**Service account permissions**: Verify `dynamo-sa` has necessary RBAC permissions
3.**PVC access**: Check that `dynamo-pvc` is properly configured and accessible
4.**Image pull issues**: Ensure the Docker image is accessible from the cluster
5.**Resource constraints**: Adjust resource limits if the job is being evicted
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@@ -500,9 +499,6 @@ kubectl describe pod <pod-name> -n $NAMESPACE