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Windows ML lets developers build local, AI‑powered apps using custom or open‑source models that run efficiently across GPU, NPU, and CPU on a unified Windows platform. Learn what’s new, including WebNN support for web experiences and improved tooling with AI Toolkit for VS Code to simplify preparing and deploying models and AI workloads with Windows ML.
To learn more, please check out these resources:
* https://aka.ms/build26/OD851
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Andrew Leader
* Maha Bayana
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
OD851 | English (US) | Windows
Pre-recorded | (300) Advanced
#MSBuild
Chapters:
0:00 – Introduction – Cloud Costs and Benefits of Local AI
00:01:07 – Overview of Windows ML and Supported ONNX Models
00:02:18 – Windows ML Compatibility with Windows 10 and Multiple Languages
00:03:05 – Planned Demo – Sentiment Analysis Dashboard
00:04:00 – Using Windows ML CLI for Model Conversion
00:05:37 – Integrating ONNX Model into a Web App with ONNX Runtime Web
00:08:01 – Running Model Inference with CPU via WebNN
00:10:00 – Optimizing for NPU to Accelerate Web App Performance
00:12:00 – Converting Project to Native WinUI 3 App with Windows ML
00:17:47 – Wrap-Up – New Windows ML Features and Call to Explore Local AI Read More Microsoft Developer
