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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.

LUNA PASS services can be run on any OS that supports Docker. Running LUNA PASS Docker containers is officially tested on CentOS 7/8. Running on other operating systems may have some peculiarities not described in this documentation. All procedures in the installation manual are described for CentOS 7.

Docker containers of LUNA PASS services use CentOS 8.

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.

CPU#

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

  • CPU Intel, 4 physical cores minimum with clock frequency 2.0 GHz or higher. AVX2 instruction set support is required for CPU;

  • RAM DDR3 (DDR4 recommended), 6 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 or newer;

  • Compute Capability 6.1 or higher is required.

A minimum of 6 GB or dedicated video RAM is required. 8 GB or more VRAM recommended.

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