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Download GAMS Release 33.2.0 (December 01, 2020)

Please consult the release notes before downloading a system. Here are the detailed platform descriptions and installation notes.
The GAMS distribution includes the documentation in electronic form.

Platform

For Mac OS X, also a simple self-extracting archive is available, which you can download here. Note, that this archive does not contain GAMS Studio. The SmartScreen Filter on Microsoft Windows might give. The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 375 open source projects, including runtimes, tools and frameworks.

Microsoft Desktop and Server Operating Systems (x86_64 architecture)

GNU/Linux System (x86_64 architecture)

Macintosh System (x86_64 architecture)

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Notes

• Model size limits with a demo license

  • For linear models (LP, RMIP, and MIP) GAMS will generate and solve models with up to 2000 constraints and 2000 variables
  • For all other model type GAMS will generate and solve models with up to 1000 constraints and 1000 variables
  • Some solvers may enforce tigther limits. Please check the licensing chapter for details

  The GAMS log will indicate that your system runs in demo mode

  GAMS will terminate with a licensing error if you hit one of the limits above:

• MD5-Hash values.

  Use a program like md5sum to verify. This should come preinstalled on most Linux systems.

  On Windows systems, open a powershell and enter Get-FileHash .windows_x64_64.exe -Algorithm MD5

  On Mac OS systems, you can use md5 in the terminal.

• For Mac OS X, also a simple self-extracting archive is available, which you can download here.

  Note, that this archive does not contain GAMS Studio.

• The SmartScreen Filter on Microsoft Windows might give a warning during the installation. For more information please check our Support Wiki.

• To deliver GAMS with the best performance we are using the Amazon CloudFront web service, a global network of edge locations for content delivery.

Older GAMS Distributions

Request even older distributions

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