Language Model APIs

Winsage
June 15, 2026
Copilot PCs were introduced by Microsoft in 2024 to integrate advanced AI capabilities into personal computing. An experimental Windows App SDK is now available on GitHub, allowing users to run Language Model APIs on supported Nvidia GeForce RTX 30-series GPUs with a minimum of 6GB of VRAM. This capability requires a Windows Insider Experimental Channel and Developer Mode activation, enabling local AI inferencing on devices without dedicated NPU hardware. Microsoft's shift from promoting Copilot+ PCs may be influenced by fluctuating RAM prices and aims to make AI functionalities more accessible to a broader user base. In 2024, a research firm noted that consumer interest in AI PCs was driven by the need to upgrade to available models, a trend continuing into 2026 due to a shortage of memory and storage chips, resulting in rising computer prices and declining sales of PCs and components. Projections indicate that entry-level laptops may disappear by 2028. The lack of consumer interest in NPU-equipped PCs could impede the adoption of Copilot+ features, prompting Microsoft to expand AI functionalities to non-Copilot+ devices to enhance its user base and differentiate Windows 11 from competitors like macOS and Linux.
Winsage
June 11, 2026
Microsoft is testing a new feature that allows developers to implement local language models on non-Copilot+ PCs running Windows 11. The Language Model APIs can now operate on any Windows 11 device with a compatible Nvidia GPU, specifically targeting GeForce RTX 30 series and newer models with at least 6 GB of video RAM. This initiative aims to democratize access to AI capabilities across a broader range of Windows 11 PCs, although not all PCs will gain access to exclusive Copilot+ AI functionalities.
Winsage
June 11, 2026
Microsoft has made its local Language Model APIs for Windows 11 accessible on non-Copilot+ PCs, requiring an NVIDIA RTX 30 series GPU with at least 6GB of VRAM. Copilot+ PCs, which debuted on June 18, 2024, require 16GB of RAM, an SSD, and a minimum of 40 TOPS NPU. The new APIs allow broader access to AI functionalities, including AI-powered text formatting, summarization, text rewriting, text-to-table conversion, and general prompt generation, through a compact language model called "Phi Silica." Users with compatible NVIDIA GPUs can utilize these features locally, enhancing privacy compared to cloud-based models. However, some features remain exclusive to devices with NPU chips.
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