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System Configuration

The following hardware specifications are required for Visual Layer on-premises deployment:
  • Operating System: Ubuntu LTS 20/22/24.
  • X86 architecture.
  • RAM: 64G.
  • Disk space: 256Gb + 2.5 times the estimated amount of data.
  • CPU: 16 cores.
  • Optional: GPU: Common Nvidia GPU types with at least than 24GB of GPU memory (Nvidia A10, A100, H100, RTX 4090, etc.).

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Dependencies

Install these software dependencies before setting up Visual Layer:

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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.

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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)

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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
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