Gurobi 13.0 delivers faster performance and introduces major innovations:
Gurobi 13.0 delivers, on average, ~16% faster solves on difficult MIP models (>100s) and over 2× faster solves on non-trivial MINLP models (>1s).
PDHG is an alternative method for solving extremely large LPs, especially useful when a low-accuracy solution is sufficient for the optimization application.
Use PDHG when models are too large for Simplex or Barrier to solve efficiently, or when approximate solutions are acceptable.
Yes, our PDHG implementation is designed to run on both CPUs and GPUs, but please note that functionality for GPUs is still in the beta stage.
The nonlinear barrier method is an algorithm for computing locally optimal solutions for continuous nonlinear models.
A locally optimal solution is one such that no better solution exists nearby. While not guaranteed to be the global optimum, it can be much faster to obtain and is often sufficient for many applications.
Preview feature: These features are fully supported and functional in Gurobi 13.0, but may change significantly (including breaking changes in API, behavior or packaging) in future Gurobi technical or major releases.
Beta feature: These features are not yet intended for production use. Support is provided on a best-effort basis.
Gurobi 13.0 improves the NoRel heuristic by allowing it to use variable hints, and by adding a new NoRelHeurSolutions parameter to stop the heuristic once a set number of solutions is found. This helps users obtain good starting solutions faster on hard MIP models.
Users can now restrict callbacks to specific events (where values). This reduces unnecessary communication—especially on Compute Server—and can improve performance by more than 2× in models that generate many solutions during the solve.
Gurobi 13.0 adds operation codes for the hyperbolic tangent and signed power functions, making our nonlinear API more expressive.
The new solution pool quality attributes allow simple assessment of constraint/bound/integrality violations across all solutions, helping compare solution quality tradeoffs.
Objective values and MIP gaps for all the individual objectives can now be queried after solving.
Yes. New parameters StartTimeLimit and StartWorkLimit let you control how much time or work units are spent at most processing MIP starts—helpful if you’re under strict solve time limits.
No. All new features and improvements in Gurobi 13.0 are included with your standard license.
Notes:
Yes, a modern NVIDIA GPU is required to take advantage of the new PDHG on GPU capability in Gurobi 13.0. If you don’t currently have access to GPUs but want to understand whether such hardware could benefit you, you can submit your models to Gurobi for evaluation.
Yes. Gurobi 13.0 upgrades Cluster Manager accessibility, aligning with WCAG 2.1 AA standards. Enhancements include clearer heading structures, improved contrast, and streamlined navigation, making it easier for allusers to access features consistently across web platforms.
Yes. Both features are fully supported today and form part of our long-term roadmap.
Gurobi will continue investing in R&D to expand our nonlinear optimization and accelerated computing capabilities, with a focus on delivering clear, practical benefits for our customers.
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