Banzai Cloud Logo Close
Home Products Benefits Blog Company Contact
Get Started
In our last last entry in the distributed TensorFlow series, we used a research example for distributed training of an Inception model. In this post we’ll showcase how to do the same thing on GPU instances, this time on Azure managed Kubernetes - AKS deployed with Pipeline. As you may remember from our previous post that the first thing to consider when running distributed Tensorflow models is whether you have shared storage space available.