CUDA Compatibility Drivers
This procedure is considered experimental.
In some situations, you might not be able to upgrade NVIDIA CUDA drivers on a regular basis. To work around this issue, NVIDIA provides compatibility drivers that allow users to use newer features without requiring a full upgrade. For information about compatibility drivers, see https://docs.nvidia.com/deploy/cuda-compatibility/index.html .
Installing the Drivers
Use the following commands to install the CUDA 11 compatibility drivers on Ubuntu:
Copy wget
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
apt-key adv --fetch-keys
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
add-apt-repository "deb
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
apt update
nvidia-smi
apt install cuda-compat-11-0
nvidia-smi
export LD_LIBRARY_PATH = $LD_LIBRARY_PATH:/usr/local/cuda-11.0/compat/
nvidia-smi After the last nvidia-smi, ensure that CUDA shows the correct version.
The driver version will still show as the old version.
Updating systemd Files
After installing the drivers, update the systemd files in /lib/systemd/system/heavydb.service.
In the service section, add or update the environment property
Copy Environment = LD_LIBRARY_PATH = /usr/local/cuda-11.0/compat: $LD_LIBRARY_PATHbash The file should look like that
Copy [Unit]
Description = HEAVY.AI database server
After = network.target remote-fs.target
[Service]
Environment = LD_LIBRARY_PATH = /usr/local/cuda-11.0/compat: $LD_LIBRARY_PATH
User = heavyai
Group = heavyai
WorkingDirectory = /opt/heavyai
ExecStart = /opt/heavyai/bin/heavydb --config /var/lib/heavyai/heavy.conf
KillMode = control-group
SuccessExitStatus = 143
LimitNOFILE = 65536
Restart = always
[Install]
WantedBy = multi-user.target Then force the reload of the systemd configuration