Centralized model execution for teams that need secure, reliable, and scalable optimization operations.
GAMS Engine turns shared compute infrastructure into an optimization service layer. Run GAMS or GAMSPy workloads on-premise or in the cloud, manage access and workloads centrally, and move from individual model runs to governed production execution.
GAMS Engine connects modern applications with centralized optimization resources and handles the operational details of running models reliably at scale.
No more manual resource management. Engine handles queueing, execution, and result collection for you.
Beyond solving, Engine provides a web interface for administration, governance, and automation.
Choose the operating model that fits your scale, infrastructure, and ownership requirements.
Docker-based deployment for streamlined single-machine setups.
Kubernetes-based deployment for large clusters and high-throughput workloads.
GAMS-hosted service on AWS in us-east-1 or eu-central-1.
Engine acts as a central broker, accessible via a REST API from any modern environment.
GAMS Engine combines centralized execution, secure administration, and scalable deployment in one ready-to-go solution.
Whether you need a fully managed service, an enterprise-grade cluster or a "plug-and-play" setup, there is a version of GAMS Engine tailored to your infrastructure.
The Zero-Maintenance Option
The ultimate "hassle-free" experience - we host, you solve.
The Enterprise Cluster
Designed for high-demand environments requiring maximum flexibility and resilience.
The Rapid-Start Solution
Perfect for organizations that want full control over their data with a lightweight footprint.
Start with the documentation, dive into the API, or see how teams use Engine in practice.
Get the full product overview, installation guidance, client options, release notes, and security details in one place.
Open docsExplore the endpoints for job submission, result retrieval, user management, webhooks, and automation workflows.
View API docsWatch an Engine-focused workshop that explains the architecture and demonstrates Python-based job submission in the cloud.
Watch on YouTubeSee how Rhodium Group used GAMS Engine SaaS to run up to 1,200 climate simulations in parallel.
Read the storyContact our sales team if you would like to discuss deployment options, request a detailed quote, or ask for an evaluation copy.