FastFlowLM

The NPU works on Linux (Arch at least) on Strix Halo using FastFlowLM [1]. Their NPU kernels are proprietary though (free up to a reasonable amount of commercial revenue). It's neat you can run some models basically for free (using NPU instead of CPU/GPU), but the performance is underwhelming. The target for NPUs is really low power devices, and not useful if you have an APU/GPU like Strix Halo. [1]: https://github.com/FastFlowLM/FastFlowLM

That won't give you NPU support, which relies on https://github.com/FastFlowLM/FastFlowLM . And that says "NPU-accelerated kernels are proprietary binaries", not open source.

Finally there's good news for Linux users: https://github.com/FastFlowLM/FastFlowLM

Prompt processing could be sped up with NPU inference. The Strix Halo NPU is a bit weird (XDNA 2, so the architecture is spatial dataflow and programmable interconnects), but it's there. See https://github.com/FastFlowLM/FastFlowLM (which is directly supported by https://lemonade-server.ai/ https://github.com/lemonade-sdk/lemonade ) for one existing project that's planning to support the NPU for the prompt processing phase. (Do note that FLM are providing proprietary NPU kernels under a non-free license, so make sure that this fits your needs before use.)