Microsoft Build x Anyscale

Tuesday, june 2 | 3:45 - 4:30PM

What will it take to build AI platforms for the agent era? Join Azure CTO Mark Russinovich and UC Berkeley professor Ion Stoica (co-creator of Apache Spark and co-founder of Databricks and Anyscale) to explore how AI infrastructure must evolve as systems become agentic, multimodal, and globally distributed. Get practical insights on next generation architectures, from training to real time serving, and why open source, security, and governance are now core platform concerns.

Register Now

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.

Tuesday, june 2 | 2:15 - 3:00PM

Multimodal AI has unlocked 90% of the world's data: video, audio, PDFs, and sensor streams. But multimodal pipelines interleave CPU-bound preprocessing with GPU-bound inference, and traditional batch architectures leave GPUs idle over 50% of the time.

In this session, you will learn:

• Why multimodal data pipelines break traditional batch engines
• How to avoid CPU → GPU I/O that drives +50% GPU idle time
• How to build a streaming CPU+GPU pipeline with Ray Data

You'll leave with a framework for scaling multimodal pipelines and keeping your GPUs busy with Ray and Anyscale.

Register Now

Tuesday, june 2 | 5:00 - 5:45PM

Agentic AI workloads don't behave like normal services. They're stateful, bursty, multi-step, and often span more than a single cluster. Most teams figure this out the hard way. This session is for developers building agentic AI in production. We'll show you how to get the most out of Kubernetes for training, inference, and agent orchestration, covering purpose-built tooling, managed options, open-source inference at scale, and AI-assisted dev tools that support real-world AI operations.

Seating for this session is first-come, first-served. Add it to your schedule to plan your day and arrive early to secure a spot.

Register Now

Option 1: Wednesday, june 3 | 1:15 - 2:00PM

Option 2: Wednesday, june 3 | 5:15 - 6:00PM

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.

Register Now - Option 1 Register Now - Option 2