Providing a feasible solution at the start can help improve the time to optimality. A MIP start can be provided either by using the Start variable attribute or by loading a MIP start (.mst) or a solution (.sol) file.
In some cases, we setting only the binary and integer variable values and not the continuous variables. Then Gurobi may be able to generate a feasible solution when a full start vector might lead to numerical violations and not be accepted.
A related option is Variable hints. These values guide the solver throughout the solving process. If you know that a variable is likely to have a certain value in the solution, you can set the variable hint to help Gurobi find a solution.