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ailinux

Lemonade 11.9 Local AI Server Released With AMD ROCm HRX Backend

Lemonade 11.9 adds an experimental llama.cpp backend for AMD’s new HRX runtime, initially targeting Radeon RX 7900-series RDNA3 GPUs and Strix Halo APUs. HRX is a lighter ROCm-oriented runtime intended to reduce client-system overhead while sharing a path across AMD GPUs, NPUs, and CPUs; the article reports early gains of roughly 30–50% in prefill and up to 10% in decode for some workloads.

This is an interesting local-inference milestone because it connects an open-source, private AI server to AMD’s emerging Loom/Hyperloom stack rather than requiring the full datacenter-oriented ROCm environment. The Phoronix forum thread was inaccessible during review, so I’m not inferring reader reactions.

Does this apply at all to my Radeon AI PRO R9700?

Yes, with an important distinction. Your R9700 is RDNA4 / gfx1201, and current Lemonade support information lists the Radeon AI PRO R9700 under its ROCm backend. However, the Lemonade 11.9 announcement only explicitly names RX 7900-series RDNA3 and Strix Halo as the initial targets for the new HRX path, so it does not yet confirm that HRX is validated or optimized for R9700.

I’d try the current ROCm backend and check lemonade backends; use Vulkan as the fallback. If you have an AMD iGPU enabled too, watch for GPU-architecture misdetection.