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Updated Date : 2024.03.26

Applicable latest version : CXR 3.1.7 / 3.1.8

Components of Lunit INSIGHT CXR

There are 2 components required to run CXR 3.1.7.X.

• Lunit INSIGHT Gateway (GW)
• Lunit INISIGHT Inference Server (IS)

Lunit INSIGHT CXR Installation Type

The hardware requirements will change depending on the type of Lunit INSIGHT installation.

Installation types are usually categorized as follows:

• Hybrid Cloud
  • AI analysis is done on the cloud.
  • Private data is anonymized before being sent to the cloud.
  • Only GW needs to be installed on the server within the confines of the user’s network.
  • IS need to be installed on the cloud.
• On-premise
  • AI analysis is done on the server within the confines of the user’s network.
  • Private data is anonymized before being sent to the AI model. 
  • All the components (GW and IS) need to be installed in order to run CXR

Requirements for the Hardware

Each column in the table below represents the components that need to be installed in the server.

• Hybrid Cloud : Only Lunit INSIGHT Gateway (GW) will be installed on the hardware.
  • If you prepare the hardware for GW, Lunit can host the Cloud for IS.
  • If you want to host the Cloud for IS yourself, please refer to the "On-premise" column for the requirements of the VM on the Cloud. If you plan to use the public cloud like AWS or Azure, Lunit can provide guidance for the appropriate VM size.
• On-premise : A single product of CXR will be installed on the hardware.

Hardware Selection Guideline

OS - Windows

• Personal Computer Version
  • Windows 10 Home 1709 and later
  • Windows 10 Pro 1709 and later
  • Windows 10 Enterprise LTSC 2019 and later
• Server Version
  • Windows Server 2016, version 1709 and later
• On Windows, only CPU mode is available. GPU mode is not supported.

OS - Linux

• The Ubuntu 20.04 server is used, as it can be installed with a simple installation package. This OS can receive seamless technical support.
  
• On Linux, both CPU mode and GPU mode are available. The analyzing time is faster with GPU.
  

CPU

Lunit INSIGHT Inference Server uses OpenVINO for the AI prediction.
The devices below support OpenVINO. Go to Supported CPU for Lunit INSIGHT Inference Server page to find out if your CPU can support AI prediction.

• Intel Xeon with Intel AVX2

• Intel Core Processors with Intel AVX2
  

RAM
Memory shouldn't be less than what is specified in the table above. Otherwise the product may not run on an optimal level. ECC RAM is recommended because of its durability and reliability

Storage

• SSD storage is recommended because of its durability and reliability
• Take into account that each image (Chest X-ray or Mammography) will be saved at three times its original size and that they will be saved for 12 hours by default.
• 50 GB is reserved for the OS, the product and basic tools.
• Below is an example of how to calculate the storage that will be required in practice.
  • The image size and the number of cases are hypothetical values.
  • Chest X-Ray image : 10MB
  • The number of images : 5,000 cases (at once)
  • Total image size : 10MB X 3 X 5,000 cases = 150GB
  • Reserved for the OS, the product and basic tools.
  • Total needed storage : 150GB (Images) + 50GB (Reserved) = 200G

GPU

Having a GPU reduces analysis time but it is still available on hardware without a GPU. 

The table below shows the GPU requirements for IS analysis.

* Only Nvidia GPUs are available; Other brand like AMD is not supported.

* Compute Capability Check Website : https://developer.nvidia.com/cuda-gpus

* VRAM is supposed to be doubled when installing both CXR and MMG together on a single piece of hardware.