Using GPUs with FKS

GPUs are available on Fly Kubernetes. Information about our GPUs can be found in our Fly GPUs documentation.

GPUs are consumed by requesting a GPU resource, similarly to requesting cpu or memory. There is a custom resource gpu.fly.io/<gpu type> that is used to request GPUs. Note that:

• The available GPU types are: a100-40gb, a100-80gb and l40s. Check the documentation for which regions they are available in.
• Pods are deployed in the same region as your cluster. You can place your Pod in a particular region by adding a fly.io/region: <region> annotation to your Pod’s metadata.
• GPU resource requests should only specify the limits section.
• You can specify CPU and memory resources alongside GPU resources. The minimum number of cores supported is 2 and the minimum amount of memory is 4096 MiB. The VMs deployed will always be performance Machines.
• The valid number of GPUs you can request are: 1, 2, 4 and 8.
• You can only request one type of GPU at a time

Below is an example of a Pod with a GPU:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  annotations:
    fly.io/region: ams # optional
spec:
  containers:
    - name: nginx
      image: nginx:latest
      resources:
        limits:
          gpu.fly.io/a100-80gb: 1

This will deploy a GPU Machine with the size a100-80gb with 1 GPU core in the region ams.

Related topics

• FKS Quickstart
• Create an FKS cluster
• Configure FKS Services
• Use volumes with FKS