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Update NVIDIA GPU instructions for GCP (#10970)

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This commit is contained in:
Rohit Agarwal
2018-11-16 07:02:02 -08:00
committed by k8s-ci-robot
parent cfb257146f
commit 41319e8059
1 changed files with 9 additions and 6 deletions
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content/en/docs/tasks/manage-gpus/scheduling-gpus.md
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@@ -116,29 +116,32 @@ kubectl create -f https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/v1.
Report issues with this device plugin to [NVIDIA/k8s-device-plugin](https://github.com/NVIDIA/k8s-device-plugin). Report issues with this device plugin to [NVIDIA/k8s-device-plugin](https://github.com/NVIDIA/k8s-device-plugin).
#### NVIDIA GPU device plugin used by GKE/GCE #### NVIDIA GPU device plugin used by GCE
The [NVIDIA GPU device plugin used by GKE/GCE](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu) The [NVIDIA GPU device plugin used by GCE](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu)
doesn't require using nvidia-docker and should work with any container runtime doesn't require using nvidia-docker and should work with any container runtime
that is compatible with the Kubernetes Container Runtime Interface (CRI). It's tested that is compatible with the Kubernetes Container Runtime Interface (CRI). It's tested
on [Container-Optimized OS](https://cloud.google.com/container-optimized-os/) on [Container-Optimized OS](https://cloud.google.com/container-optimized-os/)
and has experimental code for Ubuntu from 1.9 onwards. and has experimental code for Ubuntu from 1.9 onwards.
On your 1.9 cluster, you can use the following commands to install the NVIDIA drivers and device plugin: On your 1.12 cluster, you can use the following commands to install the NVIDIA drivers and device plugin:
``` ```
# Install NVIDIA drivers on Container-Optimized OS: # Install NVIDIA drivers on Container-Optimized OS:
kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/k8s-1.9/daemonset.yaml kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/stable/daemonset.yaml
# Install NVIDIA drivers on Ubuntu (experimental): # Install NVIDIA drivers on Ubuntu (experimental):
kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/k8s-1.9/nvidia-driver-installer/ubuntu/daemonset.yaml kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/stable/nvidia-driver-installer/ubuntu/daemonset.yaml
# Install the device plugin: # Install the device plugin:
kubectl create -f https://raw.githubusercontent.com/kubernetes/kubernetes/release-1.9/cluster/addons/device-plugins/nvidia-gpu/daemonset.yaml kubectl create -f https://raw.githubusercontent.com/kubernetes/kubernetes/release-1.12/cluster/addons/device-plugins/nvidia-gpu/daemonset.yaml
``` ```
Report issues with this device plugin and installation method to [GoogleCloudPlatform/container-engine-accelerators](https://github.com/GoogleCloudPlatform/container-engine-accelerators). Report issues with this device plugin and installation method to [GoogleCloudPlatform/container-engine-accelerators](https://github.com/GoogleCloudPlatform/container-engine-accelerators).
Instructions for using NVIDIA GPUs on GKE are
[here](https://cloud.google.com/kubernetes-engine/docs/how-to/gpus)
## Clusters containing different types of NVIDIA GPUs ## Clusters containing different types of NVIDIA GPUs
If different nodes in your cluster have different types of NVIDIA GPUs, then you If different nodes in your cluster have different types of NVIDIA GPUs, then you