NVIDIA GPU Operator
- By Canonical Kubernetes
| Channel | Revision | Published | Runs on |
|---|---|---|---|
| latest/beta | 4 | 14 Feb 2024 | |
| latest/edge | 1 | 13 Jan 2024 | |
| 1.29/stable | 4 | 14 Feb 2024 | |
| 1.29/beta | 4 | 14 Feb 2024 | |
| 1.29/edge | 1 | 13 Jan 2024 |
juju deploy nvidia-gpu-operator --channel 1.29/stable
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
-
image-registry | string
Image registry for nvidia-gpu-operator charm images. The value set here will replace the host portion of each image URL in the release manifests. If unset, the default registry from upstream manifests will be used. example) juju config nvidia-gpu-operator image-registry=""
-
namespace | string
Kubernetes namespace in which to install the GPU operator components including deployments, daemonsets, configmaps. If unset, "default" is assumed. NOTE: This can only be specified during initial charm deployment since some attributes of kubernetes resources are non-modifiable. The admin is responsible for ensuring the namespace exists prior to deployment.
-
nfd-worker-conf | string
Default: sources: pci: # wokeignore:rule=whitelist deviceClassWhitelist: - "02" - "0200" - "0207" - "0300" - "0302" deviceLabelFields: - vendor
Defines the Node Feature Discovery (NFD) worker configuration. Refer to the NVIDIA documentation for additional NFD configuration options: https://kubernetes-sigs.github.io/node-feature-discovery/v0.14/reference/worker-configuration-reference.html example) juju config nvidia-gpu-operator --reset nfd-worker-conf