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v8.1.0
v8.1.0
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  • Installing the Drivers
  • Updating systemd Files
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  1. Installation and Configuration
  2. Installation
  3. Upgrading

CUDA Compatibility Drivers

PreviousUpgrading from Omnisci to HEAVY.AI 6.0NextUninstalling

Last updated 11 months ago

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 .

Installing the Drivers

Use the following commands to install the CUDA 11 compatibility drivers on Ubuntu:

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

Environment=LD_LIBRARY_PATH=/usr/local/cuda-11.0/compat:$LD_LIBRARY_PATHbash

The file should look like that

[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

// Some code
https://docs.nvidia.com/deploy/cuda-compatibility/index.html