In this webinar, get a brief primer on AI/ML and its use cases, as well as an overview of why Kubernetes is such a popular choice for AI/ML workload deployments. Learn about some common technical infrastructure details that need to be handled to deploy these workloads in Kubernetes. Finally, watch a simple demo of provisioning a GPU cluster to deploying KubeFlow with a Jupyter notebook.
Saad is passionate about building products in the areas of cloud, virtualization, containers, and distributed systems. In his fifteen years of experience, Saad has shipped multiple new products in enterprise, service provider, and consumer technologies. He is a hardcore Trekkie and enjoys building autonomous drone tracking software.
Deepak has deep experience in software engineering at companies like Genpact, Flipkart, and Treastech. He likes reading, binge watching Netflix, or playing Call of Duty in his spare time.
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