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Merge pull request #842 from bjwswang/main
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chore: add gpu-operator charts
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bjwswang authored Mar 13, 2024
2 parents b8a41a8 + ff34762 commit 6323c69
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22 changes: 22 additions & 0 deletions deploy/charts/gpu-operator/.helmignore
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# Patterns to ignore when building packages.
# This supports shell glob matching, relative path matching, and
# negation (prefixed with !). Only one pattern per line.
.DS_Store
# Common VCS dirs
.git/
.gitignore
.bzr/
.bzrignore
.hg/
.hgignore
.svn/
# Common backup files
*.swp
*.bak
*.tmp
*~
# Various IDEs
.project
.idea/
*.tmproj
.vscode/
6 changes: 6 additions & 0 deletions deploy/charts/gpu-operator/Chart.lock
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dependencies:
- name: node-feature-discovery
repository: https://kubernetes-sigs.github.io/node-feature-discovery/charts
version: 0.14.2
digest: sha256:84ec59c0c12da825ca7dc25bdac63d0f2106822a129f7fe1f9d60a4023a543ce
generated: "2023-10-10T11:26:00.823757+02:00"
24 changes: 24 additions & 0 deletions deploy/charts/gpu-operator/Chart.yaml
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apiVersion: v2
name: gpu-operator
version: v23.9.1
kubeVersion: ">= 1.16.0-0"
description: NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
appVersion: "v23.9.1"
icon: https://assets.nvidiagrid.net/ngc/logos/GPUoperator.png
sources:
- https://github.com/NVIDIA/gpu-operator
home: https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/overview.html
keywords:
- gpu
- cuda
- compute
- operator
- deep learning
- monitoring
- tesla

dependencies:
- name: node-feature-discovery
version: v0.14.2
repository: https://kubernetes-sigs.github.io/node-feature-discovery/charts
condition: nfd.enabled
3 changes: 3 additions & 0 deletions deploy/charts/gpu-operator/REDME.md
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# GPU-Operator

Cloned from [gpu-operator](https://github.com/NVIDIA/gpu-operator/tree/master/deployments/gpu-operator) with version `V23.9.1`
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# Patterns to ignore when building packages.
# This supports shell glob matching, relative path matching, and
# negation (prefixed with !). Only one pattern per line.
.DS_Store
# Common VCS dirs
.git/
.gitignore
.bzr/
.bzrignore
.hg/
.hgignore
.svn/
# Common backup files
*.swp
*.bak
*.tmp
*.orig
*~
# Various IDEs
.project
.idea/
*.tmproj
.vscode/
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apiVersion: v2
appVersion: v0.14.2
description: 'Detects hardware features available on each node in a Kubernetes cluster,
and advertises those features using node labels. '
home: https://github.com/kubernetes-sigs/node-feature-discovery
keywords:
- feature-discovery
- feature-detection
- node-labels
name: node-feature-discovery
sources:
- https://github.com/kubernetes-sigs/node-feature-discovery
type: application
version: 0.14.2
10 changes: 10 additions & 0 deletions deploy/charts/gpu-operator/charts/node-feature-discovery/README.md
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# Node Feature Discovery

Node Feature Discovery (NFD) is a Kubernetes add-on for detecting hardware
features and system configuration. Detected features are advertised as node
labels. NFD provides flexible configuration and extension points for a wide
range of vendor and application specific node labeling needs.

See
[NFD documentation](https://kubernetes-sigs.github.io/node-feature-discovery/v0.14/deployment/helm.html)
for deployment instructions.
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