Security and Authentication for NVIDIA NeMo Retriever Embedding NIM#
Use this documentation to learn about security and authentication for NVIDIA NeMo Retriever Embedding NIM.
As a developer, you are responsible for securing access to any application using the NeMo ecosystem, including an authentication layer between users and your application and securing communication between services in your application.
Important
As a Developer, you must secure your own API endpoints. We suggest using a proxy as well as HTTPS/TLS 1.2.
Rate Limiting#
NIMs do not impose rate limits. If you want to restrict access to your application, implement rate limiting in a gateway or proxy. To limit the number of requests waiting for batch processing, set the batcher queue depth with NIM_SERVER_MAX_QUEUE_SIZE.
Ports#
Set the HTTP listen address with NIM_SERVER_BIND_ADDR in host:port format. The default is 0.0.0.0:8000. Expose this address only to clients that require access to the HTTP API.
To enable the optional KServe V2 gRPC API, set NIM_SERVER_GRPC_BIND_ADDR in host:port format. The gRPC API is disabled when this variable is unset. Expose the gRPC address only to clients that require access to that API.
Incident Response#
Secrets#
If you deploy a NeMo Retriever Embedding NIM component using Helm charts, you will need at least two secrets to set up in that namespace:
An image pull secret for NGC
An NGC API key secret
If your cluster requires additional image pull secrets for custom init containers, you’ll need those also.
Create the secrets according to your organization’s requirements and Kubernetes secrets best practices, but for POCs and to set up secrets quickly you can use the following, where NAMESPACE is the name of your namespace:
kubectl \
create secret -n NAMESPACE docker-registry ngc-secret \
--docker-server=nvcr.io --docker-username='$oauthtoken' \
--docker-password=$NGC_API_KEY
kubectl \
create secret -n NAMESPACE generic ngc-api \
--from-literal=NGC_API_KEY=$NGC_API_KEY
We recommend that you store credentials in a secret management solution.
Logging#
Use the following command to view the service log messages using Docker.
docker logs <container-id> -f
Alternatively, use the following command to view the service log messages for a container deployed on Kubernetes.
kubectl logs -n <namespace> <pod-name> -f
Tip
Additional information on logging can be found in the Logging section.
See Docker security for information about securing your Docker container, including your log files.