Processing Power

Default value: 1
rosepy parameter name: node_count

The processing power option specifies the number of compute nodes allocated to solve the optimization model. Each node provides 64 physical CPU cores, allowing the solver to parallelize the solution process across multiple threads and cores for improved performance on large or complex problems.

Increasing the number of nodes typically leads to faster solve times by enabling broader and deeper exploration of the search tree in parallel. This is especially beneficial for mixed-integer programming (MIP) models. A value of 1 means the solver will use a single compute node (64 cores). Setting this to 2 or higher scales the solver across multiple nodes for additional compute capacity, assuming your license or environment supports it.

If you would like to increase your compute capacity, reach out to us.