Access GPU with TensorFlow on our Jetson Kubernetes Edge Cluster
In this post, we’ll build an image hosting a TensorFlow and run it as a Pod in Kubernetes on an edge cluster. We’ll initialize TensorFlow and run some tests to verify we can run code against the GPU. We previously setup a K3s cluster on 2 Jetson Nano’s. Now we’ll leverage it to run the TensorFlow Pod before later running with more complex models.
