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When we start building apps infused with AI it begs the question of how we tackle the local dev experience. Do we provision cloud resources, if so, how do we secure them, manage rate limits and cost? Or do run local models, and how do we set them up? What about vector databases, data ingestion, and all those auxiliary systems? It all sounds complicated, that is until we start leveraging the power of .NET Aspire and see that we can have it as easy as clone repo and dotnet run!
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Aaron Powell
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
DEM520 | English (US) | AI, Copilot & Agents
Related Sessions:
BRK146 — https://build.microsoft.com/sessions/BRK146?wt.mc_id=yt_PLlrxD0HtieHg4OIwuQGsVgpQhTKl4fFdE
#MSBuild
Chapters:
0:00 – Challenges of Running AI Locally vs. Cloud
00:02:58 – Demonstration of Foundry Local Usage
00:03:37 – Distributed Application Concept Explanation
00:04:02 – Model Download and Service Management with Aspire
00:05:50 – Configuration of Foundry Local Resource
00:06:33 – Explanation of the Chat Model Requirement and Initial Mention of Application’s Start
00:10:47 – Options for downloading models and continuation plans
00:11:50 – Explanation of automatic model version and device compatibility selection
00:12:11 – Details on CPU model download Read More Microsoft Developer
