
Bob Mital
Principal Product Manager Lead - GenAI Application Platform

Time slot - tbd
As Python becomes central to modern AI, many teams struggle to scale from experiments to production. Join this table talk to learn how Anyscale on Azure helps teams move from notebooks to large-scale, distributed AI workloads using open source tools—without managing infrastructure.
Discover how managed Ray accelerates training, inference, and data processing, while Azure delivers the security, scale, and reliability needed for enterprise AI.

Principal Product Manager Lead - GenAI Application Platform
online only
Anyscale on Azure is a production-ready AI platform built on a scalable stack of Ray and Azure Kubernetes Service that abstracts the complexity of distributed compute behind a Python-native interface. Developers can build multimodal data pipelines, train and fine-tune models, and deploy them as inference services, all without managing infrastructure.
In this session, you'll see how it works end-to-end. We'll walk through the architecture and run a live demo of building, training, and serving AI inside your own Azure subscription.

Field Engineer - Partnerships