In this blog post I’m going to detail how deploy and configure a Nvidia GPU enabled Tanzu Kubernetes Grid cluster in AWS. The method will be similar for Azure, for vSphere there are a number of additional steps to prepare the system. I’m going to essentially follow the official documentation, then run some of the Nvidia tests. Like always, it’s good to get a visual reference and such for these kinds of deployments.

Pre-Reqs

• Nvidia today only support Ubuntu deployed images in relation to a TKG deployment
• For this blog I’ve already deployed my TKG Management cluster in AWS

Deploy a GPU enabled workload cluster

It’s simple, just deploy a workload cluster that for the compute plane nodes (workers) that uses a GPU enabled instance.

You can create a new cluster YAML file from scratch, or clone one of your existing located in:

~/.config/tanzu/tkg/clusterconfigs

Below are the four main values you will need to change. As mentioned above, you need a GPU enabled instance, and for the OS to be Ubuntu. The OS version will default if not set to 20.04.

CONTROL_PLANE_MACHINE_TYPE: t3.large
NODE_MACHINE_TYPE: g4dn.xlarge
OS_ARCH: amd64
OS_NAME: ubuntu
OS_VERSION: "20.04

The rest of the file you configure as you would for any workload cluster deployment. Continue reading Deploying Nvidia GPU enabled Tanzu Kubernetes Clusters →