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On the Azure virtual machine, NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. | |
While running the playbook, you get the following error: fatal [localhost]: FAILED! => {"changed": false, "msg": "Detected no loaded images. Archive potentially corrupt?", "stdout": "", "stdout_lines": []} | |
While running the playbook, you get the following error: fatal: [localhost]: FAILED! => {"changed": false, "msg": "Error creating container: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out. (read timeout=6) | |
NVIDIA-SMI failed because it couldn't communicate with the NVIDIA driver. The NVIDIA graphic driver is not compatible. | The issue occurred for one of the following reasons: - The NVIDIA drivers are not correctly installed.
- The machine is not GPU-enabled.
- The GPU drivers are not correctly installed.
Install the required GPU drivers and retry. |
While starting a container, you get the following error:
Click here to see the 500 Server error.
7261c90b8771a4e83b036a0820598e630261fb2ddcc0ecd50d89529fa29b6ad6: 500 Server Error for http+docker://localhost/v1.46/containers/7261c90b8771a4e83b036a0820598e630261fb2ddcc0ecd50d89529fa29b6ad6/start: Internal Server Error (\"could not select device driver \"nvidia\" with capabilities: [[gpu]]\
| The issue occurred for one of the following reasons: - The machine is not GPU-enabled.
- The GPU drivers are not correctly installed.
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To address the No such file or directory error when running the BMC-AMI-AI-Platform.sh, BMC-AMI-AI-Llama.sh or BMC-AMI-AI-Mixtral.sh files. | Verify file presence: Run the following command to ensure the script exists in the specified directory: This will list the files in the directory. Make sure that BMC-AMI-AI-Platform.sh, BMC-AMI-AI-Llama.sh, or BMC-AMI-AI-Mixtral.sh files are listed. Fix line-ending issues: If the file is present but the error persists, it might be because of incorrect line endings (such as Windows-style carriage returns). Run the following command to fix the issue: sed -i -e 's/\r$//' BMC-AMI-AI-Platform.sh OR sed -i -e 's/\r$//' BMC-AMI-AI-Llama.sh OR sed -i -e 's/\r$//' BMC-AMI-AI-Mixtral.sh Retry execution by running the following command: ./BMC-AMI-AI-Platform.sh OR ./BMC-AMI-AI-Llama.sh OR ./ BMC-AMI-AI-Mixtral.sh
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Permission is denied when attempting to connect to the Docker daemon socket at unix:///var/run/docker.sock: Post "http://%2Fvar%2Frun%2Fdocker.sock/v1.47/containers/": dial unix /var/run/docker.sock: connect: permission denied. | Prefix the docker command with sudo |
Error during Terraform Installation After installing Terraform, running the Terraform command results in a command not found error. Possible Cause: The Terraform binary is not added to your system’s PATH environment variable. | - Verify Installation Path: Check if Terraform was installed correctly by navigating to the installation directory (default might be C:\Program Files\Terraform on Windows).
- Update PATH Environment Variable:
- On Windows:
- Click Control Panel > System > Advanced system settings > Environment Variables.
- Find the PATH variable and edit it. Add the path where terraform.exe is located. For example, C:\Program Files\Terraform.
- On Linux/macOS:
Open .bashrc or .zshrc file and add the following line: Bash export PATH="$PATH:/path/to/terraform" To reload the shell, run the following command: source ~/.bashrc or source ~/.zshrc
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Error during AWS CLI Installation When you run the following command after installing AWS CLI, it returns command not found. Possible Cause: The AWS CLI installation path is not added to the PATH environment variable, or the installation was incomplete. | - Verify Installation Path:
- On Windows, by default, AWS CLI is installed in C:\Program Files\Amazon\AWSCLI. Make sure this directory exists.
On macOS or Linux, verify that the CLI is installed by checking /usr/local/bin/aws or by using:
- Update the PATH Variable:
- On Windows:
- Add C:\Program Files\Amazon\AWSCLI\bin to the PATH in the Environment Variables.
- On Linux/macOS:
Add the following line to your .bashrc or .zshrc file: bash export PATH="$PATH:/usr/local/bin/aws" To reload the shell, run the following command: source ~/.bashrc or source ~/.zshrc
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Error Unable to Locate Credentials when Using AWS CLI After installing AWS CLI and running commands, you receive an error such as Unable to locate credentials. Possible Cause: AWS CLI is not configured with your credentials, or the credentials are invalid. | Configure AWS CLI Run the following command to configure your AWS credentials: - A prompt message requires you to enter the following:
- AWS Access Key ID
- AWS Secret Access Key
- Default region name
- Default output format
- Check the AWS Credentials File as follows:
- Make sure your credentials are saved in the correct location.
- On Windows: C:\Users\USERNAME\.aws\credentials
- On Linux/macOS: ~/.aws/credentials
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Error Error loading certificate when running OpenSSL commands Running OpenSSL commands to extract or verify certificates results in the error Error loading certificate. Possible Cause: The certificate file is corrupt, missing, or not properly formatted. | - Verify Certificate Format as follows:
- Make sure the certificate file is in the correct PEM format and starts with -----BEGIN CERTIFICATE----- and ends with -----END CERTIFICATE-----.
- Re-download or Recreate the Certificate as follows:
- If the file is corrupt, re-download it from the certificate authority or recreate the certificate by running the necessary OpenSSL commands again.
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