AMD Radeon RX 9070 XT local LLM inference guide

AMD Radeon RX 9070 XT graphics card

16GB of video memory (VRAM) at a reasonable price: on paper, a fine local-AI card. In practice, AMD for local large language models (LLMs) is a Linux story.

ROCm support has improved substantially, and on Linux the 9070 XT runs llama.cpp and friends respectably. On Windows you fight driver immaturity for compute workloads. That is the entire decision. If you already run Linux, AMD's VRAM-per-dollar is genuinely attractive: 16GB covers 4-bit quantized models up to 13B with room to spare. If you are on Windows and do not want a second operating system, NVIDIA's software stack remains worth the premium.

Memory bandwidth is the other number to check. The 9070 XT moves data fast enough that 4-bit inference feels responsive, and the Vulkan backend in llama.cpp gives Windows users a fallback where ROCm is not an option. Test with your actual models, since support varies by quantization format.

Do not buy AMD for AI on Windows hoping support improves later. Buy it for the system you will actually run. See how it stacks up.

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