whentimeslows/website
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update NVIDIA GPU instructions for GCP (#10970)

Browse Source
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
Download Patch File Download Diff File Expand all files Collapse all files
content/en/docs/tasks/manage-gpus/scheduling-gpus.md
+9 -6
View File
@@ -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).
#### 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
that is compatible with the Kubernetes Container Runtime Interface (CRI). It's tested
on [Container-Optimized OS](https://cloud.google.com/container-optimized-os/)
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:
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):
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:
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).
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
If different nodes in your cluster have different types of NVIDIA GPUs, then you