An AMD label alone does not prove acceleration. Match the exact GPU, operating system, driver path, model format, and engine before promising speed.
Check whether Ollama is using your AMD GPU
AMD makes many kinds of graphics chips. Some have their own VRAM. Others are built into the processor and share normal RAM. The exact model and operating system matter.
- 1
Find the exact GPU name
On Windows, press Ctrl, Shift, and Esc. Select Performance, then GPU. Write down the full name and dedicated GPU memory.
- 2
Install current AMD drivers
Visit amd.com/support. Search for the exact GPU, choose your operating system, and follow AMD's installer.
- 3
Install Ollama
Download the Windows installer from ollama.com/download and open it.
- 4
Run a small model
Open PowerShell and run:
ollama run gemma3:1b - 5
Watch GPU activity
Keep Task Manager open on Performance, GPU. Change the graph to a compute view when available and watch memory use while the model answers.
- You recorded the exact AMD GPU and driver version.
- The model answers without crashing.
- You can see whether the GPU or only the CPU is doing the work.
If something goes wrong
- Low activity does not always prove failure. Compare answer speed with GPU acceleration disabled when the engine allows it.
- Treat support as uncertain when the official engine page does not list your exact hardware path.
Use the explanations below when you want to know why each step matters.
Why AMD answers are often confusing
AMD makes integrated graphics, laptop chips, gaming cards, and workstation cards. They do not all use the same memory or software path. A guide that says only AMD supported is not detailed enough.
Support can also differ between Windows and Linux. The same card may work through one engine and fall back to the CPU in another.
Dedicated and integrated graphics
A dedicated card has its own VRAM. Integrated graphics normally shares system RAM with the CPU. Shared memory shown in Windows is not the same as guaranteed dedicated VRAM.
For an integrated AMD laptop, enter total system RAM and choose integrated graphics in MamiLens. Do not enter the largest shared-memory number as if it were a separate GPU memory chip.
Check the full support path
- Find the exact GPU name, not only Radeon or AMD.
- Check the operating system and driver version.
- Read the current engine hardware page.
- Confirm the model architecture and file format.
- Watch the engine log to see whether layers reached the GPU.
- Measure speed against a CPU-only run.
Choose an engine carefully
Ollama and llama.cpp publish hardware guidance and support several acceleration paths. LM Studio can be easier for a visual test. More advanced server engines may focus on selected data-center GPUs and Linux.
If the official support evidence is unclear, treat GPU acceleration as conditional. The model may still run on the CPU, but it may be slower.
Compatible model format does not prove that a specific AMD GPU will accelerate it.
A safe AMD test
- Start with a small Q4 model.
- Run one short prompt after the model is warm.
- Record CPU use, GPU use, memory, and answer speed.
- Repeat with GPU acceleration disabled if the engine allows it.
- Keep the faster stable setup and save the exact versions.
Official facts and real user evidence
Official documentation supports product and model facts. Community discussions show real setups, failures, and questions. A community result is supporting evidence, not a promise that another computer will perform the same way.
Find a model your computer can run.
MamiLens checks your hardware and shows a careful starting point.
Run the free compatibility check →This guide is educational. Model software, licenses, and hardware support can change. Check official sources before an important deployment.