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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