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

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