<p>I want to have a instance group that scales from 0 to x pods. I get <code>Insufficient nvidia.com/gpu</code>. Does someone see what I'm doing wrong here? This is on Kubernetes v1.9.6 with autoscaler 1.1.2.  </p>

<p>I have two instance groups, one with cpus, and a new one I want to scale down to 0 nodes called gpus, so <code>kops edit ig gpus</code> is:</p>

<pre><code>apiVersion: kops/v1alpha2
kind: InstanceGroup
metadata:
  creationTimestamp: 2018-05-31T09:27:31Z
  labels:
    kops.k8s.io/cluster: ci.k8s.local
  name: gpus
spec:
  cloudLabels:
    instancegroup: gpus
    k8s.io/cluster-autoscaler/enabled: ""
  image: ami-4450543d
  kubelet:
    featureGates:
      DevicePlugins: "true"
  machineType: p2.xlarge
  maxPrice: "0.5"
  maxSize: 3
  minSize: 0
  nodeLabels:
    kops.k8s.io/instancegroup: gpus
  role: Node
  rootVolumeOptimization: true
  subnets:
  - eu-west-1c
</code></pre>

<p>And the autoscaler deployment has:</p>

<pre><code>    spec:
      containers:
      - command:
        - ./cluster-autoscaler
        - --v=4
        - --stderrthreshold=info
        - --cloud-provider=aws
        - --skip-nodes-with-local-storage=false
        - --nodes=0:3:gpus.ci.k8s.local
        env:
        - name: AWS_REGION
          value: eu-west-1
        image: k8s.gcr.io/cluster-autoscaler:v1.1.2
</code></pre>

<p>Now I try to deploy a simple GPU test:</p>

<pre><code>apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: simple-gpu-test
spec: 
  replicas: 1
  template:
    metadata:
      labels:
        app: "simplegputest"
    spec:
      containers: 
      - name: "nvidia-smi-gpu"
        image: "nvidia/cuda:8.0-cudnn5-runtime"
        resources: 
          limits: 
             nvidia.com/gpu: 1 # requesting 1 GPU
        volumeMounts:
        - mountPath: /usr/local/nvidia
          name: nvidia
        command: [ "/bin/bash", "-c", "--" ]
        args: [ "while true; do nvidia-smi; sleep 5; done;" ]
      volumes:
      - hostPath:
          path: /usr/local/nvidia
        name: nvidia
</code></pre>

<p>I expect the instance group to go from 0 to 1, but the autoscaler logs show: </p>

<pre><code>I0605 11:27:29.865576       1 scale_up.go:54] Pod default/simple-gpu-test-6f48d9555d-l9822 is unschedulable
I0605 11:27:29.961051       1 scale_up.go:86] Upcoming 0 nodes
I0605 11:27:30.005163       1 scale_up.go:146] Scale-up predicate failed: PodFitsResources predicate mismatch, cannot put default/simple-gpu-test-6f48d9555d-l9822 on template-node-for-gpus.ci.k8s.local-5829202798403814789, reason: Insufficient nvidia.com/gpu
I0605 11:27:30.005262       1 scale_up.go:175] No pod can fit to gpus.ci.k8s.local
I0605 11:27:30.005324       1 scale_up.go:180] No expansion options
I0605 11:27:30.005393       1 static_autoscaler.go:299] Calculating unneeded nodes
I0605 11:27:30.008919       1 factory.go:33] Event(v1.ObjectReference{Kind:"Pod", Namespace:"default", Name:"simple-gpu-test-6f48d9555d-l9822", UID:"3416d787-68b3-11e8-8e8f-0639a6e973b0", APIVersion:"v1", ResourceVersion:"12429157", FieldPath:""}): type: 'Normal' reason: 'NotTriggerScaleUp' pod didn't trigger scale-up (it wouldn't fit if a new node is added)
I0605 11:27:30.031707       1 leaderelection.go:199] successfully renewed lease kube-system/cluster-autoscaler
</code></pre>

<p>When I start a node by setting the minimum tot 1, I see that it has the capacity: </p>

<pre><code>Capacity:
 cpu:             4
 memory:          62884036Ki
 nvidia.com/gpu:  1
 pods:            110

and labels
Labels:             beta.kubernetes.io/arch=amd64
                    beta.kubernetes.io/instance-type=p2.xlarge
                    beta.kubernetes.io/os=linux
                    failure-domain.beta.kubernetes.io/region=eu-west-1
                    failure-domain.beta.kubernetes.io/zone=eu-west-1c
                    kops.k8s.io/instancegroup=gpus
                    kubernetes.io/role=node
                    node-role.kubernetes.io/node=
                    spot=true
</code></pre>

<p>The required tag is present on the AWS Scale group:</p>

<pre><code>{
    "ResourceId": "gpus.ci.k8s.local",
    "ResourceType": "auto-scaling-group",
    "Key": "k8s.io/cluster-autoscaler/node-template/label/kops.k8s.io/instancegroup",
    "Value": "gpus",
    "PropagateAtLaunch": true
}
</code></pre>

<p>Finally, when I set the min pool size to 1, it can scale from 1 to 3 automatically. Just doesn't do 0 to 1.</p>

<p>Is there someway I can perhaps inspect the template to see why it doesn't have the resource?</p>

Alex
<p><a href="https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md" rel="nofollow noreferrer">Cluster Autoscaler</a>
is a standalone program that adjusts the size of a Kubernetes cluster to meet the current needs.
Cluster Autoscaler can manage GPU resources provided by the cloud provider in the same manner.</p>

<p>Based on cluster <a href="https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#how-can-i-scale-a-node-group-to-0" rel="nofollow noreferrer">autoscaler documentation</a>,
for AWS, it is possible to scale a node group to 0 (and obviously from 0), assuming that all scale-down conditions are met.</p>

<p>Going back to your question, for AWS, if you are using nodeSelector, you need to tag your nodes in the ASG template using labels like "k8s.io/cluster-autoscaler/node-template/label/". 
Please note that Kubernetes and AWS GPU support require different labels.</p>

<p>For example, for a node label of foo=bar, you would tag the ASG with:</p>

<pre><code>{
    "ResourceType": "auto-scaling-group",
    "ResourceId": "foo.example.com",
    "PropagateAtLaunch": true,
    "Value": "bar",
    "Key": "k8s.io/cluster-autoscaler/node-template/label/foo"
}
</code></pre>
