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RX 9060 XT 16G + MI50 16G for layer split using llama.cpp + Vulkan

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

I already have an 9060 XT 16 GB version, and I would like to increase the size of the models I can run. The Instinct MI50 seems like a great card to buy for layer splitting - high bandwidth and cheap. I plan to use llama.cpp + Vulkan. But I have no idea whether it will actually work, and whether it…

Read the full story at r/LocalLLM ↗

Timeline · 4 reports

  1. 2026-09-05 14:20 · r/LocalLLaMA
    NInfer vs llama.cpp vs vLLM: quality + speed comparison for Qwen3.8-27B NVFP4 on RTX 5090
  2. 2026-09-04 20:20 · r/LocalLLM
    Moving 2× RX 7900 XTX (+2× MI50) from a 2013 Xeon board to EPYC to finally get PCIe P2P for tensor parallel — can anyone confirm this config before I buy?
  3. 2026-09-04 20:15 · r/LocalLLM
    Qwen3.8 27B on RX 7900 XTX: Ollama ROCm vs llama.cpp Vulkan results
  4. 2026-09-04 06:25 · r/LocalLLM
    RX 9060 XT 16G + MI50 16G for layer split using llama.cpp + Vulkan

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