Using Microsoft Azure Kubernetes Service (AKS)

You can use containerized execution on AKS as a fully managed Kubernetes solution.

For a complete Elastic AI setup in Azure including elastic storage and elastic compute based on Kubernetes, we recommend that you read our dedicated Azure documentation

• Using managed AKS clusters
  • Initial setup
    • Create your ACR registry
    • Install the AKS plugin
    • Prepare your local az, docker, and kubectl commands
    • Create base images
    • Create a new containerized execution configuration
  • Cluster configuration
  • Using GPUs
    • Building an image with CUDA support
    • Enable GPU support on the cluster
    • Add a custom reservation
    • Deploy
  • Other
• Using unmanaged AKS clusters
  • Setup
    • Create your ACR registry
    • Create your AKS cluster
    • Prepare your local az, docker, and kubectl commands
    • Create base images
    • Create a new containerized execution configuration
  • Using GPUs
    • Building an image with CUDA support
    • Create configuration and add a custom reservation
    • Create a cluster with GPUs
    • Deploy