Commit Graph
4 Commits
Author SHA1 Message Date
jtoelke2 32857eb650 fix(helm): grant node read access for GPU capacity checks (#1106)
* fix(helm): grant node read access for GPU capacity checks

Signed-off-by: Jonas Toelke <jtoelke@nvidia.com>

* ci: add WSL GPU failure diagnostics

Signed-off-by: Jonas Toelke <jtoelke@nvidia.com>

* fix(gpu): bump device plugin for WSL CDI

* fix(sandbox): allow WSL GPU paths in Landlock

Allow /dev/dxg and /usr/lib/wsl as GPU baseline paths so WSL CDI GPU sandboxes can initialize NVML. Native Linux skips these entries when the paths do not exist.

* ci: remove temporary WSL GPU diagnostics

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Signed-off-by: Jonas Toelke <jtoelke@nvidia.com>
2026-05-01 17:49:49 -05:00
Evan Lezar 122bc74948 feat(sandbox): switch device plugin to CDI injection mode (#503)
* feat(sandbox): switch device plugin to CDI injection mode

Configure the NVIDIA device plugin to use deviceListStrategy=cdi-cri so
that GPU devices are injected via direct CDI device requests in the CRI.
Sandbox pods now only require the nvidia.com/gpu resource request —
runtimeClassName is no longer set on GPU pods.

Signed-off-by: Evan Lezar <elezar@nvidia.com>
2026-03-31 08:35:39 -07:00
Evan Lezar dac6cd953d feat(gpu): disable NFD/GFD and remove nodeAffinity from device plugin chart (#497)
Disables GPU Feature Discovery and Node Feature Discovery DaemonSets and
overrides the device plugin's default nodeAffinity to null so it schedules
unconditionally on the single-node gateway without requiring NFD/GFD labels.

Setting affinity to an empty map ({}) does not override the chart defaults
because Helm deep-merges user values with chart defaults. Using null explicitly
removes the key, causing the chart template to skip the affinity block entirely.
2026-03-20 10:45:30 -07:00
Drew NewberryandPiotr Mlocek d94d4e1166 feat(cluster): add NVIDIA GPU passthrough support for gateway start (#234)
Add --gpu flag to 'openshell gateway start' that enables NVIDIA GPU
access inside the cluster container. When enabled, the Docker container
receives GPU device requests via bollard, k3s auto-detects the NVIDIA
runtime, and the NVIDIA k8s-device-plugin is deployed via HelmChart CR
so Kubernetes workloads can request nvidia.com/gpu resources.

- Add GPU device request to Docker container creation (bollard DeviceRequest)
- Set GPU_ENABLED=true env var to gate GPU manifest deployment
- Multi-stage Dockerfile build to bundle NVIDIA Container Toolkit binaries
- Conditional GPU manifest copy in cluster entrypoint
- HelmChart CR for nvidia-device-plugin v0.18.2 with GFD and NFD enabled
- Thread gpu bool through DeployOptions, CLI flag, and run dispatch

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Co-authored-by: Piotr Mlocek <pmlocek@nvidia.com>
2026-03-11 16:53:24 -07:00