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System requirements#

LUNA PASS is delivered in Docker containers and can use both CPU and GPU processors.

Docker container LUNA PASS images are required for installation. An Internet connection is required to download the Docker images to the server. You can also download images to any other device and transfer to the server. Authorization to the VisionLabs Docker registry is required to download Docker images.

LUNA PASS can be deployed using the Docker Compose script.

Running LUNA PASS has been tested on the following versions of the above software:

  • Docker: 25.0.3
  • Docker Compose: 2.24.6

It is not guaranteed to work with other versions of the above software.

Using the plugin mechanism requires developing scripts that take into account the syntax and functionality provided by Python 3.11.

It is considered that installation is performed on the server with Almalinux 8 OS, where LUNA PASS was not installed.

Processors requirements#

The configuration below guarantees software package minimum power operating. System requirements for the production system are calculated based on the intended system load.

The hardware specifications below are based on servicing up to 10 client sessions simultaneously.

CPU#

The following minimum system requirements should be met for the LUNA PASS software package installation:

  • Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40 Hz (8 virtual cores);
  • AVX2 instruction set support;
  • 64-bit processor;
  • DDR3 RAM (DDR4 recommended), 16 GB or higher;
  • Free storage size must be 1 Gb or higher.

GPU#

For GPU acceleration an NVIDIA GPU is required. The following architectures are supported:

  • Pascal and newer;
  • Compute Capability 6.1 or higher is required.

SSD 100GB of free hard disk space. 8GB of VRAM or more recommended.

CUDA version 11.4 must be installed where Remote SDK and Lambda (optional) service is deployed. The recommended NVIDIA driver is r470.