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

Add AMD GPU node labeller to scheduling-gpus.md (#12530)

Browse Source 
* Add AMD GPU node labeller to scheduling-gpus.md

* Add AMD GPU node labeller to scheduling-gpus.md

* Fixed typo

* Fix stray typo, wording issue
This commit is contained in:
Kenny Ho
2019-02-17 22:47:53 -05:00
committed by Kubernetes Prow Robot
parent a7ec1f8478
commit bb2d30a821
1 changed files with 35 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
content/en/docs/tasks/manage-gpus/scheduling-gpus.md
+35 -2
View File
@@ -142,9 +142,9 @@ Report issues with this device plugin and installation method to [GoogleCloudPla
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 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 GPUs, then you
can use [Node Labels and Node Selectors](/docs/tasks/configure-pod-container/assign-pods-nodes/)
to schedule pods to appropriate nodes.
@@ -156,6 +156,39 @@ kubectl label nodes <node-with-k80> accelerator=nvidia-tesla-k80
kubectl label nodes <node-with-p100> accelerator=nvidia-tesla-p100
```
For AMD GPUs, you can deploy [Node Labeller](https://github.com/RadeonOpenCompute/k8s-device-plugin/tree/master/cmd/k8s-node-labeller), which automatically labels your nodes with GPU properties. Currently supported properties:
* Device ID (-device-id)
* VRAM Size (-vram)
* Number of SIMD (-simd-count)
* Number of Compute Unit (-cu-count)
* Firmware and Feature Versions (-firmware)
* GPU Family, in two letters acronym (-family)
* SI - Southern Islands
* CI - Sea Islands
* KV - Kaveri
* VI - Volcanic Islands
* CZ - Carrizo
* AI - Arctic Islands
* RV - Raven
Example result:
$ kubectl describe node cluster-node-23
Name: cluster-node-23
Roles: <none>
Labels: beta.amd.com/gpu.cu-count.64=1
beta.amd.com/gpu.device-id.6860=1
beta.amd.com/gpu.family.AI=1
beta.amd.com/gpu.simd-count.256=1
beta.amd.com/gpu.vram.16G=1
beta.kubernetes.io/arch=amd64
beta.kubernetes.io/os=linux
kubernetes.io/hostname=cluster-node-23
Annotations: kubeadm.alpha.kubernetes.io/cri-socket: /var/run/dockershim.sock
node.alpha.kubernetes.io/ttl: 0
......
Specify the GPU type in the pod spec:
```yaml