AI Needs Compute: Building Azure Infrastructure for Intelligent Workloads

Details:

Artificial intelligence isn’t just about models and algorithms — it’s powered by massive compute infrastructure behind the scenes. From GPU clusters and distributed training environments to scalable inference endpoints, modern AI workloads depend on the right architecture to perform efficiently and cost-effectively.

In this session, we’ll explore how AI workloads run in Azure and what it takes to design the infrastructure that supports them. You’ll learn how different Azure compute options — from GPU-enabled virtual machines to managed machine learning platforms — fit into the AI lifecycle, and how to choose the right approach based on your workload.

We’ll walk through real-world architectures that show how data flows through training pipelines, how models are deployed, and how applications consume AI services at scale. Whether you’re building machine learning models, working with large language models, or designing enterprise AI platforms, this session will help you understand the compute foundation behind AI in Azure.

You’ll learn:

• What makes AI workloads different from traditional applications
• The role of GPU infrastructure and high-performance compute in AI
• Azure compute options for AI, including virtual machines, clusters, and managed platforms
• How Azure Machine Learning organizes compute for development, training, and inference
• The difference between training and inference workloads and how they impact architecture
• How to design scalable AI systems using clusters, containers, and endpoints
• Cost optimization strategies for GPU and AI workloads
• AI architecture patterns in Azure

Who Should Attend
New to AI in Azure?
Get a clear understanding of how AI workloads run and what infrastructure they require.

Developers and data engineers
Learn how to design and scale compute for training models and serving predictions.

Architects and IT professionals
Gain insight into building cost-effective, scalable AI platforms using Azure compute services.