Run and Scale AI Applications with Azure Kubernetes Service (AKS) @MicrosoftReactor
Run and Scale AI Applications with Azure Kubernetes Service (AKS)  @MicrosoftReactor
Uploaded June 2026 | Updated September 2026, 3 weeks ago
Building AI applications means running demanding workloads on the right hardware, at scale, without adding operational drag.

This session covers what's new in AKS for teams building and running AI apps and agents, and how the latest capabilities help you get more out of your infrastructure while keeping day-to-day operations manageable.

You'll learn how to: - Run AI and data-intensive workloads across a wider range of accelerators, with better visibility into how they perform and where you can tune them - Scale multi-service and agentic applications across clusters and fleets, with more efficient access to the compute you need - Automate upgrades, rollouts, and configuration across your estate with more control and less risk - Connect AKS to the broader Azure AI stack to move from model to production faster, with identity and security built in Whether you run a single cluster or a large fleet, you'll leave with a clear picture of where AKS is headed for AI workloads and how to put these new capabilities to work.

🔗 https://aka.ms/AzureContainerAppsSandbox

📌 This event is a part of a series, learn more here: https://aka.ms/BCNA

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Microsoft Reactor |

Run and Scale AI Applications with Azure Kubernetes Service (AKS)

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