Maintained by: Gurobi Optimization
Where to get help: Gurobi Support, Gurobi Documentation
Gurobi images:
- gurobi/optimizer: Gurobi Optimizer (full distribution)
- gurobi/python: Gurobi Optimizer (Python API only)
- gurobi/python-example: Gurobi Optimizer example in Python with a WLS license
- gurobi/modeling-examples: Optimization modeling examples (distributed as Jupyter Notebooks)
- gurobi/compute: Gurobi Compute Server
- gurobi/manager: Gurobi Cluster Manager
This Docker image is currently only available as a beta.
Supported architectures: linux/amd64, linux/arm64
Published image artifact details: https://github.com/Gurobi/docker-manager-operator
We introduced a Kubernetes Autoscaler Operator for Gurobi Compute Servers that provides configurable autoscaling to align the number of pods in a cluster to the current workload. The operator monitors job queues, waiting times, and node utilization, and adjusts deployments up or down as needed. Scale-down is handled gracefully to avoid interrupting running jobs. The scaling logic can be modified through parameters, giving users control over how decisions are made. The operator is published on DockerHub and uses the existing Cluster Manager REST APIs, ensuring backwards compatibility with previous Gurobi Compute Server versions.
For detailed information, please refer to the Gurobi Operator documentation.
By downloading and using this image, you agree with the End-User License Agreement for the Gurobi software contained in this image.
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.
