System Requirements

Dependencies are installed automatically when using the pip and Conda installation methods. However, users would still need to make sure the system meets the minimum requirements.

Minimum Requirements

• System Architecture:

  • x86-64

  • ARM64

• GPU:

  • Volta architecture or better (Compute Capability >=7.0)

• CPU:

  • 4+ cores

• System Memory:

  • 16+ GB RAM

• NVMe SSD Storage:

  • 100+ GB free space

• CUDA:

  • 12.0+

• Python:

  • >= 3.10.* and <= 3.12.*

• NVIDIA drivers:

  • 525.60.13+ (Linux)

  • 527.41+ (Windows)

• OS:

  • Linux distributions with glibc>=2.28 (released in August 2018):

    • Arch Linux (minimum version 2018-08-02)

    • Debian (minimum version 10.0)

    • Fedora (minimum version 29)

    • Linux Mint (minimum version 20)

    • Rocky Linux / Alma Linux / RHEL (minimum version 8)

    • Ubuntu (minimum version 20.04)

    • Windows 11 with WSL2

• CUDA & NVIDIA Driver combinations:

  • CUDA 12.0 with Driver 525.60.13+

  • CUDA 12.2 with Driver 535.86.10+

  • CUDA 12.5 with Driver 555.42.06+

  • CUDA 12.8 with Driver 570.42.01+

Recommended Requirements for Best Performance

• System Architecture:

  • x86-64

  • ARM64

• GPU:

  • NVIDIA H100 SXM (compute capability >= 9.0)

• CPU:

  • 32+ cores

• System Memory:

  • 64+ GB RAM

• NVMe SSD Storage:

  • 100+ GB free space

• CUDA:

  • 12.8

• Latest NVIDIA drivers (570.42.01+)

• OS:

  • Linux distributions with glibc>=2.28 (released in August 2018):

    • Arch Linux (minimum version 2018-08-02)

    • Debian (minimum version 10.0)

    • Fedora (minimum version 29)

    • Linux Mint (minimum version 20)

    • Rocky Linux / Alma Linux / RHEL (minimum version 8)

The above configuration will provide optimal performance for large-scale optimization problems.

Container

• nvidia-container-toolkit needs to be installed

Thin-client for Self-Hosted

• OS: Linux

• System Architecture:

  • x86-64

  • ARM64

• Python >= 3.10.x <= 3.12.x