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AMD GPU not detected / ROCm unsupported (Ollama & llama.cpp)

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 czerwca 2026

Founder, LLM Configurator — AI educator & workshop leader on local LLM deployment

The error

Error: no compatible GPUs were discovered

When you see it

You have a Radeon card but Ollama runs on the CPU, or a ROCm build reports no devices. Common variants include rocBLAS error: Could not initialize Tensile host: No devices found. The GPU is installed, but the AMD compute stack won't claim it.

What's actually going on

AMD GPU inference goes through ROCm, and ROCm officially supports a narrower list of cards than NVIDIA's CUDA does. Your GPU may be unsupported, only *partially* supported, or supported but reporting a gfx architecture version that the installed ROCm libraries don't ship kernels for. On Windows the situation is patchier still. So this is a detection/compatibility problem, not a memory one.

How to fix it

1. Confirm ROCm sees the GPU

Check whether the AMD stack detects the card at all. rocminfo lists detected agents and rocm-smi shows GPU status. If neither sees it, the problem is the ROCm install or an unsupported card — fix that before anything else.

rocminfo | grep gfx   # shows the GPU architecture if detected
rocm-smi

2. Override the gfx version for partially-supported cards

Many consumer Radeons work fine but report a gfx version ROCm doesn't officially target. Forcing a compatible version with HSA_OVERRIDE_GFX_VERSION makes ROCm use kernels built for a near sibling. For example, several RDNA3 cards run with 11.0.0. Set it before launching.

# RDNA3 example — match the value to your architecture
export HSA_OVERRIDE_GFX_VERSION=11.0.0
ollama serve

3. Install the ROCm build / right driver

Make sure you have the ROCm-enabled Ollama (or a HIP/ROCm build of llama.cpp) and a matching AMD driver. A stock install can be CPU-only or built against a different ROCm version than you have. On Linux, confirm your user is in the render and video groups so it can access the device.

sudo usermod -aG render,video $USER   # then log out and back in

4. If your card is unsupported, size the model for what you can run Most common fix

If ROCm genuinely won't support your GPU, you may be running on CPU for now — in which case a smaller, lower-quant model is the difference between usable and unbearable. Check which models run acceptably on your setup so you pick one that performs.

Frequently asked questions

Is my AMD GPU supported for local LLMs?

Check ROCm’s supported-GPU list and run rocminfo to see your gfx version. Recent RDNA2/RDNA3 cards generally work (sometimes via a gfx override); older or low-end cards may be unsupported, leaving CPU inference.

What does HSA_OVERRIDE_GFX_VERSION do?

It tells ROCm to treat your GPU as a specified architecture so it uses kernels built for a close relative. It is the standard workaround for cards that are capable but not officially targeted by the installed ROCm — set it to a value matching your GPU generation.

Does AMD work on Windows for this?

Support is improving but still more limited than on Linux. Many users get the best results with ROCm on Linux; on Windows, check that your specific tool ships a working AMD/Vulkan backend for your card.