Leveraging Kubernetes ​and Azure Arc to train ML Models ​across hybrid cloud. In this episode Seth talks with Saurya Das about this new Azure Machine Learning integration with Azure Arc – to enable Data Scientists to use existing kubernetes infrastructure on-premises or in multicloud to run machine learning.
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Saurya Das joins Scott Hanselman to show how multiple node pools for Azure Kubernetes Service (AKS) enable you to use different virtual machine sizes in a node pool supporting a variety of workloads in a single AKS cluster. For example, an e-commerce website can have a node pool for a billing service and another for a machine learning-based recommendation service, each with GPUs.     

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