- When possible, use the 64-bit version of Gurobi Optimizer on a 64-bit system, which can handle much more memory than a 32-bit system.
- For a continuous (LP, QP, SOCP) model, use the simplex algorithm (Method=1 or 0), which requires less memory than the barrier or concurrent algorithms.
- For a MIP that requires a large number of nodes, use node files, which are specially designed for optimization; they are more efficient than general-purpose virtual memory from the operating system. To use node files, set the NodefileStart parameter to a value like 0.5. Note that NodefileStart has no effect for continuous models or for MIP models that solve at or near the root node.
- Try decreasing the Threads parameter, since its default behavior uses all cores in the computer.
- Try Gurobi Compute Server or Gurobi Cloud to offload the computing to another machine that has more memory.
Ideally, the best solution is simply to have enough memory. Memory is relatively inexpensive, and we recommend having sufficient memory so that the model can be loaded and solved in physical memory (RAM).