Hardware & Software Requirements#

This part describes the minimal hardware and software requirements needed for the successful platform installation.

Note

  • Please contact your Intel® Geti™ account representative or technical support personnel if you have any questions.

  • Use the workstation where the Intel® Geti™ platform is installed and hosted solely for the Intel® Geti™ platform. Do not run any other software in parallel on that same machine. To learn more, go to the Best Practices page.

Warning

Contact your business representative before changing the hardware configuration after installation. The license key is bound to hardware - changing the configuration will make the license key invalid.

Hardware Requirements#

Intel® Geti™ license#

Starter

Professional

Business

Maximum number of concurrent model trainings

1

2

4

Maximum number of Intel Geti users

1

3

10

CPU requirements

Intel CPUs capable of running min. 20, recommended from 24 concurrent threads

Intel CPUs capable of running min. 24, recommended from 32 concurrent threads

Intel CPUs capable of running min. 32, recommended from 40 concurrent threads

GPU requirements

1 x Nvidia GPU, min. 16 GB, 24 GB recommended

2 x Nvidia GPU, min. 16 GB, 24 GB recommended

  • 4 x Nvidia GPU, min. 16 GB, 24 GB recommended, or

  • 4 x Intel GPU Max 1100

RAM

64 GB min., 128 GB recommended

128 GB min., 256 GB recommended

256 GB or 512 GB

Storage (SSD)

1 TB min., 2 TB recommended

2 TB min., 4 TB recommended

4 TB min., 8 TB recommended

OS

Ubuntu 20.04 or 22.04 LTS and RHEL 9.4

Ubuntu 20.04 or 22.04 LTS and RHEL 9.4

Ubuntu 20.04 or 22.04 LTS and RHEL 9.4

Software Requirements#

Warning

It is strongly advised to install the Intel® Geti™ platform on a clean operating system (OS).

  1. If, when running platform_installer, you get a message “Error loading Python lib”, it means that you are trying to run the installer on an older, unsupported system. The supported OSes are listed above.

  2. Ensure the Secure Boot option is disabled in BIOS. Otherwise, the license component will not be able to identify the machine and you will not be able to apply for the license.

  3. The machine, on which you are running the installer, must have access to the Internet in order to download Docker images.

  4. All GPU cards installed on the machine will be used to run training jobs. Ensure all of them are accelerators capable of running CUDA based code.

  5. For the best platform performance and stability, it is suggested to add the following entries to /etc/security/limits.conf:

root    -       nofile  65536
*       -       nofile  65536

Note

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.