In this AI Community Standup, Bruno Capuano and Maanav Dalal show .NET developers how to run AI models locally using Foundry Local. Presented by dotnet.

.NET AI Community Standup: Foundry Local for C# Developers

Presented by: Bruno Capuano, Maanav Dalal

Overview: Modern .NET developers have the option to run powerful AI models locally, eliminating the need for cloud dependencies. Foundry Local enables C# and .NET developers to architect, run, and integrate AI solutions directly on their machines—providing advantages in speed, privacy, and control over the AI stack.

Key Topics

• Introduction to Foundry Local and its fit within the .NET ecosystem
• Benefits of local-first AI for developers: faster iteration, improved privacy, and full control
• Architectural considerations for integrating Foundry Local with C# applications
• Example workflows for running and deploying local AI models
• Comparison with cloud-based AI approaches

Practical Insights

• How to set up and use Foundry Local as a .NET developer
• Use cases: privacy-sensitive apps, development speed, offline scenarios
• Integration patterns for AI models in modern .NET solutions

Resources

• Microsoft Learn Foundry Local Resources
• Bruno Capuano's Advocate Page
• Maanav Dalal on LinkedIn

Presented by dotnet. #dotnet #AI #LocalAI #Foundry