This document discusses using Juju and Kubernetes to deploy containerized applications on GPU-enabled infrastructure. It provides YAML examples for creating Kubernetes pods that utilize NVIDIA GPU resources and deploying Chainer and TensorFlow containers with GPU support. Commands are given for interacting with the Kubernetes cluster through kubectl to view nodes, create and delete pods, and execute commands on pods.

1. Juju + Kubernetes
GPU
(VirtualTech.jp)

2. Juju
Ubuntu Canonical
(AWS/GCE/Azure/MAAS/OpenStack etc...)
( &Linux )
(KVM)
OS
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3. MAAS
Ubuntu Canonical
(Linux KVM)/
Linux(Ubuntu/CentOS)
RHEL/SUSE/Windows
Juju Cloud
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4. Kubernetes
Google
&
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5. Juju + Kubernetes
Juju Kubernetes
Charm Bundle
jujucharms.com
Flannel Calico OVN etc ...
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6. CDK
Canonical Distribution Of Kubernetes
juju deploy canonical-kubernetes
YAML
NVIDIA GPU ( )
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7. Juju Kubernetes
% juju add-model k8s
% juju switch k8s
% juju deploy canonical-kubernetes
..
% juju deploy ./deploy.yml
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8. Juju GUI
% juju gui
GUI 2.12.1 for model "admin/k8s" is enabled at:
https://172.17.28.160:17070/gui/u/admin/k8s
Your login credential is:
username: admin
password: XXXXXXXXXX
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9. kubectl (for Ubuntu)
% sudo snap install kubectl --classic
kubectl
% mkdir ~/.kube && touch ~/.kube/config
% juju scp kubernetes-master/0:config ~/.kube/config
コマンドを実行してみる
% kubectl get node
NAME STATUS ROLES AGE VERSION
node1 Ready <none> 19d v1.10.2
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10. Kubernetes Pod
Pod NIC
Kubernetes Pod
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DB
Pod

11. Hello World
% vi hello.yml
apiVersion: v1
kind: Pod
metadata:
name: hello-world
spec:
containers:
- name: busybox
image: busybox
tty: true
% kubectl create -f hello.yml
% kubectl exec -it hello-world -- hostname
hello-world
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12. K8s YAML
apiVersion: v1
kind: Pod
metadata:
name: multiapp-pod
spec:
containers:
- name: 1st
image: nginx:latest
ports:
- containerPort: 80
- name: 2nd
image: postgres:latest
ports:
- containerPort: 5432
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13. Pod
% kubectl create -f multiapp-pod.yml
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14. Pod
% kubectl create -f multiapp-pod.yml
pod "multiapp-pod" created
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15. Pod
% kubectl get -f multiapp-pod.yml
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16. Pod
% kubectl get -f multiapp-pod.yml
NAME READY STATUS RESTARTS AGE
multiapp-pod 2/2 Running 0 12s
Pod kubectl get pod
kubectl get pod -o wide
-w
get describe
describe
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17. Pod
Pod
% kubectl exec -it app-pod bash
#/
Pod ID
% kubectl exec -it multiapp-pod -c 1st bash
% kubectl exec -it multiapp-pod -c 2nd bash
% kubectl exec -it multiapp-pod -c 1st apt update
% kubectl exec -it multiapp-pod -c 1st apt install
net-tools
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18. Pod
% kubectl delete -f multiapp-pod.yml
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19. Pod
% kubectl delete -f multiapp-pod.yml
pod "multiapp-pod" deleted
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20. K8s GPU
GPU
Python + Tensol ow-GPU Chainer
GPU
Pod GPU
Pod
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21. GPU YAML
apiVersion: v1
kind: Pod
metadata:
name: testpod-noncuda
spec:
restartPolicy: OnFailure
containers:
- name: testpod-noncuda
image: ubuntu:latest
tty: true
resources:
limits:
nvidia.com/gpu: 1
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K8s Schedule GPU

22. GPU Pod
% kubectl create -f first-gpupod.yml
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23. GPU Pod
% kubectl create -f first-gpupod.yml
pod "testpod-noncuda" created
% kubectl exec -it testpod-noncuda nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.30 Driver Version: 390.30 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla P40 Off | 00000000:03:00.0 Off | 0 |
| N/A 25C P8 11W / 250W | 0MiB / 22919MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
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24. Chainer YAML
apiVersion: v1
kind: Pod
metadata:
name: chainerpod
spec:
restartPolicy: OnFailure
containers:
- name: chainer
#image: chainer/chainer:latest-python3 #Py3
image: chainer/chainer:latest-python2 #Py2
tty: true
resources:
limits:
nvidia.com/gpu: 1
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【参考】
image

25. Tensor ow YAML
apiVersion: v1
kind: Pod
metadata:
name: tfpod
spec:
restartPolicy: OnFailure
containers:
- name: tensorflow
image: tensorflow/tensorflow:1.5.1-gpu
tty: true
resources:
limits:
nvidia.com/gpu: 1
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【参考】
image