Initial Query

nicholas@server:~/project$ sudo docker start myproject [sudo] password for nicholas: Error response from daemon: could not select device driver "" with capabilities: [[gpu]] Error: failed to start containers: myproject

LLM Generation

Query

nicholas@server:~/project$ sudo docker start myproject [sudo] password for nicholas: Error response from daemon: could not select device driver "" with capabilities: [[gpu]] Error: failed to start containers: myproject

Output

# Docker GPU Error: Missing NVIDIA Container Runtime The error you're seeing indicates that Docker can't find a suitable GPU driver to run your container, which was configured to use GPU capabilities. ## Problem Explanation Your Docker container `myproject` is requesting GPU access, but the necessary NVIDIA Container Runtime isn't properly set up on your system. ## Solution You need to install the NVIDIA Container Toolkit (formerly nvidia-docker2) and configure Docker to work with it: 1. **Install NVIDIA drivers** (if not already installed):

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   sudo apt update
   sudo apt install nvidia-driver-XXX  # Replace XXX with appropriate version
   
2. **Install NVIDIA Container Toolkit**:
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   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
   curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
   curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
   sudo apt-get update
   sudo apt-get install -y nvidia-container-toolkit
   
3. **Restart Docker**:
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   sudo systemctl restart docker
   
4. **Try starting your container again**:
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   sudo docker start myproject
   
## Alternative Solution If you don't actually need GPU capabilities for this container, you can modify your container configuration to remove the GPU requirement:
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sudo docker update --device-remove=all myproject
Then try starting it again. Would you like me to help with any specific part of the installation process?

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string nvidia-docker2: True

Substring Evaluation

Testing if the previous output contains the string nvidia-container-toolkit: True

Final Answer: True

Initial Query

nicholas@server:~/project$ sudo docker start myproject [sudo] password for nicholas: Error response from daemon: could not select device driver "" with capabilities: [[gpu]] Error: failed to start containers: myproject

LLM Generation

Query

nicholas@server:~/project$ sudo docker start myproject [sudo] password for nicholas: Error response from daemon: could not select device driver "" with capabilities: [[gpu]] Error: failed to start containers: myproject

Output

# Docker GPU Driver Error It appears Docker can't find the necessary GPU driver to start your container. Your container `myproject` is configured to use GPU capabilities, but the appropriate driver isn't available or properly configured. ## Solution Steps 1. **Install NVIDIA Container Toolkit** (if using NVIDIA GPUs):

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   # Install repository and GPG key
   curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey | sudo apt-key add -
   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
   curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
   
   # Update and install
   sudo apt-get update
   sudo apt-get install -y nvidia-container-toolkit
   
2. **Configure Docker to use NVIDIA runtime**:
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   sudo nvidia-ctk runtime configure --runtime=docker
   
3. **Restart Docker service**:
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   sudo systemctl restart docker
   
4. **Verify GPU driver detection**:
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   sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
   
If you're using a different GPU type, please let me know, and I can provide alternative instructions.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string nvidia-docker2: False

Substring Evaluation

Testing if the previous output contains the string nvidia-container-toolkit: True

Final Answer: True