Windows ML: Unleashing AI Performance on Devices
Summary
Windows ML, a new runtime optimized for on-device AI model performance, offers a unified framework leveraging client silicon, optimizations from partners like AMD, Intel, NVIDIA, and Qualcomm, simplified deployment, advanced silicon targeting, performance improvements, and cross-build compatibility, empowering developers to create AI-infused applications.
Key Points
- Windows ML is a new runtime optimized for performant on-device model inference and simplified deployment, designed to support developers creating AI-infused applications.
- It provides a unified framework to leverage client silicon best suited for specific workloads, with optimizations from partners like AMD, Intel, NVIDIA, and Qualcomm.
- Windows ML simplifies deployment by eliminating the need for multiple app builds, enables advanced silicon targeting, offers performance improvements, and ensures compatibility across builds.