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How to Fix ROCm Installation and GPU Detection Problems on Radeon

Check the exact GPU and software combination first, then separate ROCm driver installation errors from Linux permissions and runtime or framework detection problems.
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If ROCm is not detecting your Radeon GPU, first check whether the exact GPU, Linux distribution or Windows setup, kernel, driver, ROCm release, and framework combination is supported. Then diagnose the driver, Linux permissions, and runtime visibility as separate layers. Reinstalling ROCm cannot make unsupported hardware officially supported.

Before changing anything, record your precise Radeon model, operating system and version, kernel, driver, ROCm version, installation method, and the output of the commands relevant to your platform. Those details determine which fixes apply.

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Does my Radeon GPU support ROCm?

ROCm support is not a blanket feature of every Radeon GPU. It depends on the particular GPU model and on matching software versions: operating system, kernel, driver, ROCm release, and—in framework-based workflows—the framework version. AMD describes ROCm as depending on “a coordinated stack of compatible firmware, driver, and user space components.” Check AMD’s compatibility information for the exact release and combination you intend to use before troubleshooting packages.

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AMD’s ROCm 10.1.0 compatibility matrix, dated August 26, 2026, covers Linux and Windows. AMD’s Radeon-specific Linux compatibility page provides a ROCm 7.2.1 matrix. These are separate release references, not interchangeable lists: check the matrix for the ROCm version you plan to install, and verify its listed operating systems, kernels, and framework versions as well as the GPU.

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What the Radeon Linux 7.2.1 matrix covers

The matrix lists supported models from the Radeon RX 9000 and RX 7000 families, including the RX 7900 XTX, RX 9070 XT, RX 9060 XT, RX 7800 XT, and RX 7700 XT, along with specified Radeon PRO and AI PRO models. Listed desktop operating systems include Ubuntu 24.04.4 with HWE kernel 6.17, Ubuntu 22.04.5 with HWE kernel 6.8, and RHEL 10.1. A model appearing in the list is not enough by itself: confirm that your exact distribution, kernel, ROCm release, and framework are listed together.

If your GPU is not listed

AMD’s Linux system requirements say a GPU missing from the supported table is not officially supported. Some HIP runtime functions may still run on unsupported hardware, but that does not make AMD’s prebuilt ROCm libraries supported; AMD warns that unsupported cards can encounter runtime errors. Reinstalling the same packages does not change that support status.

What to record before troubleshooting

Keep the following information together when diagnosing the problem or asking for help. Include the exact output rather than paraphrasing an error:

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  • GPU: the full Radeon model name, not just “Radeon” or “RX 7000.”
  • Operating system and kernel: distribution and release, plus the kernel version. On Linux, use cat /etc/os-release and uname -r.
  • Driver and ROCm: the installed AMD driver and ROCm release, along with any version information shown by amd-smi or rocm-sdk when applicable.
  • Framework and installation method: for example, whether you used a package manager, amdgpu-install, pip, tarball, or runfile, and which framework you are trying to run.
  • System and runtime checks: on Linux, capture groups, dkms status, rocminfo, and clinfo where available, including any error messages.
  • GPU configuration: whether the machine has one GPU or multiple GPUs, and whether the workload runs directly on the host or in a container.

How do I fix ROCm installation errors on Radeon?

1. Match the installer to your supported setup

AMD documents package-manager, amdgpu-install, pip, tarball, and runfile installation methods. Its general installation guidance suggests starting with a package manager on Linux or a tarball on Windows if you are unsure which method to use. For Radeon and Ryzen on Linux, amdgpu-install supports graphics packages and use-case selection. Choose one documented method that matches your platform and workflow; do not combine steps from different ROCm releases.

For the Radeon Linux graphics-plus-ROCm use case, AMD documents this installation command:

sudo amdgpu-install -y --usecase=graphics,rocm

Review the installer output for errors or warnings, especially messages indicating that driver installation failed. If installation stops at the driver stage, check the OS, kernel, driver, and ROCm compatibility before retrying the installer. When the install completes, reboot the system before checking the GPU.

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2. Check whether the kernel driver installed

On Linux, run:

dkms status

This checks the status of the AMD GPU kernel driver. If the expected driver is absent or the command reports a build or installation problem, treat that as a driver-installation issue—not as proof that the application framework is misconfigured. Recheck compatibility and the installer’s error output before moving to runtime troubleshooting.

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3. Confirm Linux user access

By default, ROCm GPU access on Linux is controlled through the video and render groups. Check the current user’s memberships:

groups

If either group is missing, AMD documents adding the current user to both:

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Reboot after changing group membership so the change takes effect. If ROCm is running in a container, configure GPU access on the host as well; changing permissions only inside the container does not resolve missing host access.

4. Check what the ROCm runtime can see

Run these checks in order. Each helps locate a different part of the stack that may be failing:

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Check What it tells you How to use the result
dkms status Whether the AMD GPU kernel driver is installed. If driver status is missing or shows an error, investigate driver installation and compatibility first.
rocminfo Whether the GPU appears as an HSA agent, including its reported GFX target or marketing name. If the driver is installed but the expected GPU is absent, check Linux group access and the GPU’s support status.
clinfo Whether an AMD accelerated-computing platform and GPU device are visible through the documented OpenCL check. Compare its result with rocminfo to narrow down whether the failure is at general GPU/runtime visibility or later in the application stack.
amd-smi System information, as recommended in AMD’s general ROCm installation documentation. Use its output as additional system and device context; it does not replace the compatibility check.

If rocminfo and clinfo can see the GPU but a framework cannot, the basic driver and device-visibility checks have passed. Check that framework’s version against the same AMD compatibility matrix; framework support is also version-specific.

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Why is ROCm not detecting my Radeon GPU?

“Not detected” can describe different failures. Use the checks above to identify the layer before reinstalling software:

  • GPU or platform is outside the matrix: the installed ROCm release, OS, kernel, or GPU may not be officially supported together. Verify the exact combination first.
  • Driver installation failed: dkms status or the installer output points to a driver issue. Resolve compatibility or installation errors before diagnosing framework visibility.
  • Linux group access is missing: the user lacks render or video membership. Add the groups and reboot.
  • Host access is missing in a container: configure GPU access on the host as well as the container.
  • Runtime sees the GPU, but an application does not: compare the application’s framework version and installation with the ROCm release supported for your setup.
  • Multiple GPUs are installed: AMD notes that setting iommu=pt at boot may be needed to prevent application hangs on multi-GPU systems. This is a targeted consideration for that configuration, not a general GPU-detection fix.

What changes if I am using Windows?

Keep Windows troubleshooting within AMD’s documented scope. AMD lists Windows 11 and a limited set of Radeon models for PyTorch with ROCm components, and says the entire ROCm stack is not yet supported on Windows. Check the current Windows GPU and framework list for your exact setup, then follow the documented PyTorch path. Do not assume that Linux instructions such as Linux group changes or the full Linux ROCm stack apply on Windows.

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