Distributed Optimization

Faster than Fast

By adding distributed optimization capabilities to your Gurobi Compute Server feature set, you can leverage multiple machines to dramatically reduce solve times.

Some optimization models solve 15 times faster with 32 machines, and speed-ups of 2-3x are common with eight machines. Gurobi offers three distributed algorithms:

Distributed MIP – Multiple machines work together to solve a single MIP model
Distributed Concurrent – Multiple machines use different algorithmic strategies to race to solve an LP or MIP model
Distributed Tuning – Multiple machines do experimental solves to find parameter settings that improve performance

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