Enterprise ready ML Model Training on Hybrid Cloud, leveraging Kubernetes


We are building a unified AML Kubernetes native agent that will allow you to seamless train ML models on Kubernetes. Supported frameworks include SciKit, TensorFlow , PyTorch and MPI.
The Kubernetes cluster can be AKS in the Azure cloud or it can be on-prem Kubernetes (including Azure Stack Hub, Edge) that you bring to Azure through Azure Arc for Kubernetes. This allows you to centrally manage and govern all your Kubernetes resources in one place and use capacity flexibly for all workloads including AML.


Saurya Das is a PM in the Azure ML organization focused on the Hybrid strategy and Kubernetes.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google