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Installation#

Prerequisites (NGC authentication, secrets, high-speed network, and the topology-aware scheduler) and Holoscan for Media platform setup are covered in Getting Started. Confirm in particular that the cluster meets the Scheduler and NUMA Topology requirements before running helm install; otherwise the NIM pod stays Pending with a cannot align container event.

Pull Helm Charts#

Add the Helm repository and pull the charts. Use chart version 1.2.0 (listed in the NGC catalog for Studio Voice on Holoscan for Media).

export NGC_API_KEY=<PASTE_API_KEY_HERE>

helm repo add nim-repo \
  https://helm.ngc.nvidia.com/nim/nvidia/ \
  '--username=$oauthtoken' --password=$NGC_API_KEY

helm repo update

Pull the charts:

helm pull nim-repo/nvidia-studio-voice-h4m-sample --version 1.2.0
helm pull nim-repo/nvidia-studio-voice-h4m-service --version 1.2.0
helm pull nim-repo/nvidia-studio-voice-h4m-operator --version 1.2.0

Deployment Options#

The following pages describe Helm-based installation for Studio Voice:

  • NIM Service Chart (nvidia-studio-voice-h4m-service) — NIM service deployment only, for integration into a custom pipeline.

  • Kubernetes Operator Chart (nvidia-studio-voice-h4m-operator) — Operator controller and NvidiaStudioVoiceMediaFunction custom resource.

  • End-to-End Demo Chart (nvidia-studio-voice-h4m-sample) — Sender, NIM service, and receiver deployed as a single Helm release for evaluation.

Helm values and operator custom resource fields are summarized in Configuration Reference.