Presented by: Adam Christensen & Stefan Mann
Workshop: Sunday, April 3, 11am-12:45pm
Tutorial: Tuesday, April 5, 10:30-11:20am
The right tools help you deploy your GAMS model and maximize the impact of your decision support application.
GAMS Engine is a powerful tool for solving GAMS models, either on-prem or in the cloud. Engine acts as a broker between applications or users with GAMS models to solve and the computational resources used for this task. Central to Engine is a modern REST API that provides an interface to a scalable, containerized system of services, providing API, database, queue, and a configurable number of GAMS workers. GAMS Engine is available as a standalone application, or as a Software-As-A-Service solution running on AWS.
GAMS Transfer is an API (available in Python, Matlab, and soon R) that makes moving data between GAMS and your computational environment fast and easy. By leveraging open source data science tools such as Pandas/Numpy, GAMS Transfer is able to take advantage of a suite of useful (and platform independent) I/O tools to deposit data into GDX or withdraw GDX results to a number of data endpoints (i.e., visualizations, databases, etc.).
In this session we will go through the necessary steps to get started with GAMS Engine and GAMS Transfer.
Sign up for our general information newsletter to stay up-to-date!
