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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsAfter reimaging a Linux server, install Ollama again and restore any model files you saved separately. A reimage can erase the OS disk—including Ollama’s local models—so first check whether your previous setup used the default model directory or a custom OLLAMA_MODELS path. The exact reimage steps depend on your hosting provider and server type; follow the provider’s current instructions rather than assuming a particular console, boot method, or image.
Before the reimage, protect any models you want to keep
Reinstalling Ollama and retaining its models are separate tasks. The official Ollama FAQ lists /usr/share/ollama/.ollama/models as the standard Linux model location. If your previous service used OLLAMA_MODELS, record that configured path instead; the default may not contain your models.
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- Check the existing service configuration for a custom
OLLAMA_MODELSvalue. - Copy the needed model data to storage that will not be erased by the OS rebuild, or use a backup method appropriate to your host.
- Confirm that your backup or separate storage will remain available after the reimage. A path on the same disk being wiped is not a surviving backup.
Ollama’s FAQ says that, on Linux with the standard installer, the ollama user needs read and write access to a specified model directory.
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Reimage the server using your provider’s current procedure
The reimage workflow is host- and environment-specific. Choose the intended Linux image and complete the rebuild using the provider’s current documentation. A cloud VM may be rebuilt through a provider console or API; a physical server may use a different process. Do not assume that USB installation media, a particular Linux release, or a specific boot sequence applies to your server.
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Before confirming a destructive rebuild, make sure you have preserved anything you need from the old system, including model files and relevant service configuration. The available instructions here do not establish a provider-specific backup or restore method.
Choose native installation or Docker
| Approach | How it fits | Model persistence and GPU considerations |
|---|---|---|
| Native Linux | Uses Ollama’s Linux installer and a systemd service, which is a straightforward fit for a server managed with systemd. | Keep models in the default or configured directory and preserve that data separately from a reimage. GPU support depends on compatible hardware and visible drivers. |
| Docker | Fits an existing container workflow; follow Ollama’s current Docker instructions for the image and runtime configuration. | The official example mounts a named volume at /root/.ollama for model persistence. The volume must itself survive the host-level rebuild. GPU access requires the appropriate runtime or device configuration. |
For Docker, Ollama documents an official Docker image and usage examples, including NVIDIA setup with the NVIDIA Container Toolkit and an AMD ROCm image and device mappings. A named volume can outlast a container, but that alone does not guarantee it will outlast a server reimage; check how your host stores and preserves volumes.
Install Ollama on Linux
Use the official installer
For a typical supported Linux system, Ollama’s Linux installation guide gives this installer command:
curl -fsSL https://ollama.com/install.sh | shRun it according to the current official instructions for your distribution and access level. The script and package details can change, so consult the live guide if the command or prerequisites differ from what your server accepts.
Use a manual package when needed
The Linux guide also documents manual installation with architecture-specific archives for AMD64 and ARM64, and an additional ROCm package for AMD GPU systems. Use the package matching the server architecture and follow the guide’s current extraction and setup steps; do not substitute an archive for a different architecture.
Enable and check the systemd service
The standard Linux setup runs Ollama as the ollama user and group through a systemd unit that starts /usr/bin/ollama serve. Follow the current installation guide for creating the account and unit appropriate to your installation method. Once the unit is in place, reload systemd, enable Ollama at boot, start it, and inspect its status:
sudo systemctl daemon-reload
sudo systemctl enable ollama
sudo systemctl start ollama
sudo systemctl status ollamaA healthy service should show as active in the status output. If your installation method or distribution requires a different unit setup, use the official guide rather than assuming these commands create a missing service.
Restore model files or configure a custom directory
If you saved models, copy them back to the intended model directory after Ollama is installed. For the standard Linux installation, the default is /usr/share/ollama/.ollama/models. If you used a custom path before the rebuild, restore to that location and configure the service to use it again.
For a custom location, set OLLAMA_MODELS in the Ollama service environment, ensure the ollama account can read and write the directory, then restart the service. The exact systemd override procedure can vary with the unit and distribution, so use your current unit configuration and systemd documentation rather than placing the variable in an unrelated shell session. Restart after changing the service environment so the running process receives the setting.
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GPU acceleration is optional
Ollama can run without a GPU. If you want GPU acceleration, first identify the server’s exact GPU and confirm that the corresponding supported driver and runtime are installed and visible where Ollama runs. The Linux guide documents NVIDIA/CUDA and AMD/ROCm paths; it does not establish a universal hardware recommendation or minimum model size.
- For NVIDIA, the Linux guide recommends checking driver installation with
nvidia-smi. - For AMD, follow the current ROCm instructions and verify the driver and device access required by the deployment.
- For Docker, configure GPU runtime or device access in addition to installing host drivers.
See Ollama’s GPU troubleshooting guidance if the service runs but inference does not use the GPU. A GPU detection problem is distinct from a basic Ollama service installation failure.
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For a systemd installation, inspect service status first, then read its logs:
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sudo systemctl status ollama
sudo journalctl -e -u ollamaOllama’s Linux guide also documents following systemd logs, while its troubleshooting guidance covers GPU discovery and access. For a Docker deployment, inspect the container output with:
docker logs <container-name>- If the service will not start, check the systemd status and logs for unit, permission, or startup errors.
- If restored models are missing, verify that the service points to the directory where you restored them and that the
ollamaaccount can read and write there. - If GPU inference fails while the service starts, check host driver installation and whether the service or container can access the GPU.
Ollama’s troubleshooting guide provides further diagnostics. For version-specific installation options, updates, and systemd details, use the live Linux guide.
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