Hardware and software requirements
The hardware requirements for each protected facility must be adjusted considering the model being used, the number of processed tags and events, the average speed of data acquisition (number of observations per second), and the volume of stored data. The more data is processed and the more sophisticated the used ML model is, the more hardware resources are required for installing the server part of Kaspersky MLAD.
To ensure proper operation of Kaspersky MLAD, your computer must meet the following minimum requirements.
Requirements for Kaspersky MLAD server
List of supported processors:
- Intel Xeon E3 v3, v4, v5, v6
- Intel Xeon E5 v3, v4
- Intel Xeon E7 v3, v4
- Intel Xeon Scalable processors
- The 2nd and 3rd generation Intel Xeon Scalable processors
- Intel Xeon E
- Intel Xeon W
- Intel Xeon D
- The 4th generation and later Intel Core i5, i7
- Intel Core i9 processor
- Intel Core M
Minimum hardware requirements:
- 8 cores
- 32 GB of RAM
- 1 TB of free space on the hard drive (SSD recommended)
You can install Kaspersky MLAD on a server with another x86 64-bit processor released in 2013 or later. The processor must meet the minimum hardware requirements listed above and support the following extensions required for the TensorFlow 2.8.3 library:
- Advanced Vector Extensions (avx)
- Advanced Vector Extensions 2 (avx2)
Supported operating system:
- Ubuntu 22.04 LTS and later
The following software must be installed prior to deployment of Kaspersky MLAD:
- docker 20.10.21 or later
- docker compose 2.12.2 or later
Use the official Docker repository for installation of the software on the Kaspersky MLAD server.
Operator computer requirements
To work with the web interface of Kaspersky MLAD, the operator's computer must meet the following minimum requirements:
- Intel Core i5 CPU;
- 8 GB of RAM;
- Google Chrome browser version 107 or later
- The minimum screen resolution for correct display of the web interface is 1600x900.