Run nvidia-smi on Remote GPU Kubernetes Clusters Using Rafay Zero Trust Access
Infra operators managing GPU-enabled Kubernetes clusters often need a fast and secure way to validate GPU visibility, driver health, and runtime readiness without exposing the cluster directly or relying on bastion hosts, VPNs, or manually managed kubeconfigs.
With Rafay's zero trust kubectl, operators can securely access remote Kubernetes resources and execute commands inside running pods from the Rafay platform. A simple but powerful example is running nvidia-smi inside a GPU Operator pod to confirm that the NVIDIA driver stack, CUDA runtime, and GPU devices are functioning correctly on a remote cluster.
In this post, we walk through how infra operators can use Rafay's zero trust access workflow to run nvidia-smi on a remote GPU-based Kubernetes cluster.
