Initializing help system before first use

# Supported Platforms

Topics covered in this chapter:

- Operating System and Hardware
  - Xpress Solver - Xpress Optimizer, Xpress NonLinear and Xpress Global
  - Xpress Mosel
  - Xpress Solver - Xpress Kalis
  - Xpress Solver - Knitro
- Interfaces
  - Java
  - .NET
  - C++

## Operating System and Hardware

The following are the supported platform, operating system, and processor combinations for FICO Xpress (unless stated otherwise in the following sections for specific components):

Platform | Operating System | Processor
--- | --- | ---
Windows 64-bit
Windows 11
Windows Server 2019
Windows Server 2022
Any AMD64 or Intel EM64T
enabled 64-bit CPU
Linux 64-bit (x64)
RHEL 8
RHEL 9
Ubuntu 22.04 (Jammy Jellyfish)
Ubuntu 24.04 (Noble Numbat)
Amazon Linux 2023
Any AMD64 or Intel EM64T
enabled 64-bit CPU
Linux 64-bit (aarch64)
Amazon Linux 2
ARMv8-A
(such as Graviton2 on AWS)
macOS 64-bit (aarch64)
14 (Sonoma)
Apple Silicon M-series

### Xpress Solver - Xpress Optimizer, Xpress NonLinear and Xpress Global

Xpress Solver is the framework that supports all of FICO's optimization solver technologies, including Xpress Optimizer, Xpress NonLinear and Xpress Global.

These can be used within our modeling language Xpress Mosel or directly from Python.

On Linux platforms, the minimum required version of the glibc library is 2.28.

Please refer to the installation instructions in Section Prerequisites for Linux Installations for dependencies needed for Linux distributions for running the Console Optimizer.

The use of key-based licences (see Section Using Key-based (Static or Web Floating) Licenses) requires a C++ runtime distribution, the minimum required version is 14. In the absence of a suitable C++ version, the file-based licensing method needs to be used.

#### Python Support

Xpress Solver can be used with the following Python versions.

Platform | Python Support
--- | ---
Windows 64-bit
Linux 64-bit (x64 and aarch64)
macOS 64-bit (aarch64)
Python 3.10
Python 3.11
Python 3.12
Python 3.13
Python 3.14

#### R support

The R interface for Xpress Optimizer can be used with R versions 4.0 and newer on macOS and Linux. The precompiled R-package for Windows supports R version 4.0.

#### Xpress Insight Compute Interface support

The Xpress Optimizer libraries can be configured to interact with a remote Insight server. This is supported on all platforms listed above (Section Operating System and Hardware).

In addition, access to an Xpress Insight 5 server is required (see the Insight 5 Installation Guide, and in particular the chapter Supported Platforms).

#### GPU support for PDHG (beta release)

The primal-dual hybrid gradient (PDHG) linear optimization solver using a NVIDIA® CUDA®-capable GPU has been tested on the following operating systems and platforms:

Platform | Operating System
--- | ---
Windows 64-bit
Windows 11
Windows Server 2022
Linux 64-bit (x64)
RHEL 9
Ubuntu 22.04 (Jammy Jellyfish)
Ubuntu 24.04 (Noble Numbat)
Amazon Linux 2023
Linux 64-bit (aarch64)
Amazon Linux 2023

Hardware requirements:

- NVIDIA GPU with microarchitecture Turing, Ampere, Ada Lovelace, Hopper or Blackwell.

Please refer to the installation instructions in Section GPU installation guidelines for PDHG for additional software and driver requirements.

### Xpress Mosel

The Xpress Mosel language allows the user to define his models in a form that is close to algebraic notation and to solve them in the same environment.

It interfaces to statistics packages such as R or Matlab. Mosel provides a module python3.dso that implements functionality for exchanging data between a Mosel model and Python 3 (C Python) and for calling Python 3 scripts.

- Xpress Workbench is the premier choice as IDE (Integrated Development Environment) for standalone Mosel models and Xpress Insight apps. It integrates with Insight for remote debugging. Xpress Workbench is available for Windows and macOS as part of the Xpress installer, and as part of Docker images.

#### Python Support

Mosel provides a module python3.dso that implements functionality for exchanging data between a Mosel model and Python 3 (CPython) and for calling Python 3 scripts. The Mosel run-time library loads and runs the Python interpreter. Xpress Mosel can be used with the following Python versions:

- Python 3.10 to Python 3.14

The Python package moselpy for embedding Mosel models into Python programs supports the same Python versions as the Mosel module.

#### R support

The R interface for Xpress Mosel makes it possible to easily exchange data with R and execute R scripts, or evaluate expressions in the R language, from within a Mosel model.

- Mosel supports R versions 4.0 to 4.1.x

Note: Download the version of R from the R Project web site at www.r-project.org, targeting the same platform as Mosel. Therefore, if you have Windows 64-bit Mosel installed, download a matching R version.

#### Data Sources

Mosel can connect to data in memory through files, databases and web services. It connects to any ODBC-enabled data source, has a specific Oracle driver and drivers for Excel, CSV, XML, JSON as well as its own DAT format. Users can implement custom drivers and use Mosel's free form reading and writing capabilities.

### Xpress Solver - Xpress Kalis

Xpress Kalis provides access to the Artelys Kalis Constraint Programming (CP) solver from a Mosel module allowing the user to formulate and solve CP models in the Mosel language.

Xpress Kalis combines a finite domain solver and a solver over continuous (floating point) variables. All data handling facilities of the Mosel environment, including data transfer in memory and ODBC access to databases can be used with Xpress Kalis.

Platform | Operating System | Processor
--- | --- | ---
Windows 64-bit
Windows 11
Windows Server 2019
Windows Server 2022
Any AMD64 or Intel EM64T
enabled 64-bit CPU
Linux 64-bit
RHEL 8 or later
Any AMD64 or Intel EM64T
enabled 64-bit CPU

### Xpress Solver - Knitro

Xpress Knitro is a nonlinear solver provided by Artelys. It is accessible through Xpress Solver and is supported on the same platforms (see Section Operating System and Hardware).

## Interfaces

### Java

The interfaces for calling Xpress libraries from Java require a minimum of Java 8 (internal version: 1.8.0); compatible distributions of Oracle Java and OpenJDK are supported.

The Mosel module mosjvm works with Java 8, 11 and 17. Java 8 is not available on macOS ARM. The module is tested on Amazon Corretto.

### .NET

The interfaces for calling Xpress Solver and Mosel libraries from .NET are available for Windows and Linux platforms, and require .NET 8.

### C++

The interface for calling Xpress Solver from C++ requires a minimum of C++ 17.

Parent Topic Xpress Installation Guide

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