System Requirements

Hardware, software, and GPU requirements for installing Visual Layer on-premises with dependencies and permissions.

System Configuration

The following hardware specifications are required for Visual Layer on-premises deployment:

Requirement	Specification
Operating System	Ubuntu LTS 20/22/24
Architecture	X86
RAM	64GB
Disk Space	256GB + 2.5× estimated data size
CPU	16 cores
GPU (Optional)	Common Nvidia GPU types with at least 24GB GPU memory (Nvidia A10, A100, H100, RTX 4090, etc.)

Dependencies

Install these software dependencies before setting up Visual Layer:

• Docker v.27 or above - follow the official instructions and the post-install guide
• jq - json data parsing library
• psql - postgres command line client
• zip/unzip

NVIDIA GPU Setup (GPU machines only)

If you are using a GPU machine for acceleration, you need to install the NVIDIA Container Toolkit:

1. Add NVIDIA package repositories:

   curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
   curl -fsSL https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
     | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#' \
     | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
   

2. Download the nvidia-container-toolkit:

   sudo apt-get update
   sudo apt-get install -y nvidia-container-toolkit
   

3. Configure Docker to use the NVIDIA runtime:

   sudo nvidia-ctk runtime configure --runtime=docker
   sudo systemctl restart docker
   

4. Verify the installation:

   docker run --rm --runtime=nvidia --gpus all nvidia/cuda:11.5-base-ubuntu20.04 nvidia-smi
   

   This should display your GPU information if the toolkit is properly installed.

Advised Tools for Troubleshooting/Maintenance

These tools are recommended for system maintenance and troubleshooting:

• vi - or equivalent required for file editing
• object store CLIs if applicable (aws cli, mc)

Required Permissions and Access

Ensure proper user permissions for installation:

• Make sure you run the installation as a regular user (not a root user), with sudo privileges