Try our new documentation site (beta).


An environment is a multi-purpose data structure in Gurobi. It is typically the first Gurobi object you create and the last one you destroy. While the workings of environments are actually quite simple, the breadth of uses can sometimes cause confusion. This section lays out the different usage scenarios to make this clearer.

At the highest level, environments provide three basic functions: (i) to capture a set of parameter settings, (ii) to delineate a (single-threaded) Gurobi session, and (iii) to hold a Gurobi license. Things only get interesting once you consider the many different ways these capabilities are used throughout the product:

  • Session boundaries: Environments indicate when your program starts and stops using Gurobi.
  • Configuration parameters: Environments allow you to configure your session (whether you will run locally or on a Compute Server or on the Instant Cloud, your login credentials, etc.).
  • Algorithmic parameters: Environments enable you to modify algorithmic parameters, which influence how the solver solves your model.
  • Concurrent environments: When using a concurrent algorithm, concurrent environments allow you to control the algorithmic parameters used in each independent solve.
  • Multi-objective environments: When solving a multi-objective model, multi-objective environments allow you to control the algorithmic parameters used for each objective.


Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.