Microsoft Foundry on Windows Blog
News and guidance on the unified platform for local AI development on Windows
Latest posts
Advancing the Quality-Efficiency Frontier for Coding AI on Windows PCs
Powered by NVIDIA RTX Spark, we are bringing the promise of unmetered local intelligence to increasingly demanding coding workloads—giving developers greater freedom to experiment, delegate, and iterate on their own hardware, without per-token cloud charges. Highly capable mixture-of-experts (MoE) models are making this opportunity tangible. These models tackle complex coding tasks spanning reasoning, implementation, testing, and debugging, while advances in efficiency are bringing more of that capability onto local devices. With 128 GB of unified memory, RTX Spark PCs enables us to ask a crucial question: how...
AI Development on Windows: from PyTorch and llama.cpp to Windows ML
Today we are highlighting improvements across a few key open-source projects many of you already use, as well as updates to Windows ML. To empower developers, we must support the broad range of tools for experimentation and exploration across inference and training, in addition to our production grade native inference stack. Available today, Windows adds experimental llama.cpp support to Windows ML so you can run GGUF models locally through new task-specific APIs. Windows ML is the unified, high-performance local AI inferencing framework for Windows. Our experimental Windows-native Runtime API is now in preview ...