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AMD says XDNA1 Linux LLM support isn't available. I used AI-assisted development to get a full transformer layer running on a Ryzen 7 8845HS NPU.

I've been experimenting with the NPU in my Ryzen 7 8845HS laptop (Hawk Point / XDNA1) on Fedora Linux. A lot of the current AMD Ryzen AI documentation focuses…

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I've been experimenting with the NPU in my Ryzen 7 8845HS laptop (Hawk Point / XDNA1) on Fedora Linux.

A lot of the current AMD Ryzen AI documentation focuses on XDNA2 hardware, and community projects like FastFlowLM don't currently support XDNA1. I was curious whether the hardware was actually incapable of running LLM workloads on Linux, or if the software support had simply moved on.

Full disclosure: I used ChatGPT and Codex heavily throughout this project. I am not an AI compiler engineer and I couldn't have done this without AI-assisted code investigation, debugging and porting work.

The rough progression was:

  • Verified the NPU was working through amdxdna
  • Investigated older RyzenAI-SW releases
  • Found public Phoenix/XDNA1 artifacts (1x4.xclbin, qlinear_2, transaction binaries)
  • Built the modern Linux XRT/XDNA userspace stack
  • Got AMD's old Phoenix GEMM transactions executing on Linux
  • Validated 24 transformer-relevant GEMM shapes
  • Validated real quantized int4/BF16 inference paths
  • Built a reusable Linux XDNA1QLinear wrapper
  • Executed a complete synthetic Llama-2-style transformer layer

Current status:

  • Quantized int4 weights
  • BF16 activations
  • Q/K/V/O projections on the NPU
  • MLP projections on the NPU
  • RMSNorm, RoPE, attention and activation functions on CPU
  • Deterministic repeatable results
  • No Windows involved

Some interesting numbers:

  • ~6 ms per transformer layer (warm)
  • ~116 MiB resident memory per layer
  • 8-layer test stack completed successfully
  • Memory scaling appears linear
  • No kernel/XRT leaks observed so far

What I have not done:

  • No real model weights yet
  • No llama.cpp integration
  • No token generation
  • No end-to-end LLM inference

At this point it looks less like a hardware limitation and more like an engineering project. The old XDNA1 path appears to still be functional under Linux when paired with the modern amdxdna stack.

I'm mostly posting because I couldn't find many examples of people doing anything substantial with XDNA1 NPUs on Linux, and I thought others might find it interesting.

If there's interest, I'm happy to clean up the code and publish the project on GitHub.

submitted by /u/UnciasDream
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Auch interessante Nachrichten AMD says XDNA1 Linux LLM support isn't available. I used AI-assisted development to get a full transformer layer running on a Ryzen 7 8845HS NPU.

Thematisch verwandte Begriffe: says, XDNA1, Linux, support · 6 Treffer

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