#windows-ml

#windows-ml

The way this works is silicon partners build and maintain execution providers that Windows ML distributes, manages, and registers to run AI workloads performantly on-device, serving as a hardware abstraction layer for developers and a way to get optimal performance for each specific silicon," Microsoft says in the announcement. In simple terms, the platform enables AI-infused apps to tap into PC hardware that's best suited for their specific workload, such as GPUs for power-intensive tasks, NPUs for power efficiency, and CPUs for flexibility.