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CPU, GPU, or NPU?
Testing the pattern Immediate API playground on a Copilot+ PC exhibits that, for now not less than, Edge isn’t utilizing Window’s NPU help. As an alternative, the Home windows Process Supervisor efficiency indicators present that Edge’s Phi mannequin runs on the gadget’s GPU. At this early stage in growth, it is sensible to take a GPU-only strategy as extra PCs will help it—particularly the PCs utilized by the goal developer viewers.
It’s possible that Microsoft will transfer to supporting each GPU and NPU inference as extra PCs add inferencing accelerators and once the Windows ML APIs are finished. Home windows ML’s frequent ONNX APIs for CPU, GPU, and NPU are a logical goal for Edge’s APIs, particularly if Microsoft prepares its fashions for all of the goal environments, together with Arm, Intel, and AMD NPUs.
Home windows ML offers instruments for Edge’s builders to first take a look at for applicable inferencing {hardware} after which obtain optimized fashions. As this course of could be automated, it appears supreme for web-based AI purposes the place their builders don’t have any visibility into the underlying {hardware}.
