Microsoft Launches “Mu” – A Smart Local AI for Your PC Settings
Microsoft has introduced a new AI model called Mu, designed to help users manage system settings on Windows 11 PCs—quickly and privately—without needing the internet.
What is Mu?
Mu is a small, fast AI model with only 330 million parameters. Unlike bigger AI tools like Copilot or ChatGPT, Mu runs entirely on your device using a special chip called an NPU (Neural Processing Unit).
That means no cloud processing—everything stays local.
What Does Mu Do?
Instant local control: Performing tasks like “turn on night light” or “increase pointer size” now happens in under 500 ms, with 100–200+ tokens/second processing on-device.
Users can simply type or say things like: “I want the screen to be easier to read”
“Make text larger” etc. and Mu will understand your intent and suggest the correct setting. It even shows an “Apply” button so you can make the change instantly.
Multi‑vendor support: Built in collaboration with AMD, Intel, and Qualcomm, Mu runs smoothly across NPUs from all three platform providers, ensuring broad hardware compatibility.
Privacy & offline use: All processing remains local—great for privacy, reduced latency, and compliance with data regulations like GDPR.
Tech Behind the Model
- Mu is built on a compact transformer AI model optimized for speed and efficiency.
- It uses advanced techniques like rotary embeddings, grouped-query attention, and 8-bit/16-bit quantization to run smoothly on-device.
- The model was trained on 3.6 million system-related commands using Microsoft Azure and NVIDIA A100 GPUs.
Availability
Right now, Mu is available to Windows Insiders (test users) with the latest Copilot+ PCs from Dell, HP, Lenovo, Samsung, and others.
It will roll out more broadly later this year.
News Gist
Microsoft has launched Mu, a small on-device AI model for managing Windows 11 settings offline.
Running on NPUs from Intel, AMD, and Qualcomm, it offers instant, private control.
Mu processes commands locally, ensuring fast response and enhanced privacy without internet dependency.
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