Octeract Engine should run on any modern computer, although we recommend at least 4 physical cores and 16GB of RAM if you are running large problems in MPI-based parallel mode. Otherwise, running in serial or multi-threaded mode is more efficient.
Performance highly depends on the problem you are trying to solve, and your desired global optimality tolerance. In most cases we are able to detect and exploit special structure, which can improve performance tremendously.
Generally speaking, the main factors which contribute to CPU time cost are: the number of variables and constraints; the degree and type of non-linearity in your problem expressions; and the level of sparsity of the Hessian and the Jacobian of your problem.
Large problems may require a significant amount of RAM, especially in MPI mode. As a rule of thumb, solving a 7000×7000 problem of moderate sparsity in a 100 processor cluster, consumed about 30GB of memory in the master node, while solving a 100,000×100,000 problem in serial mode consumed about 10GB of memory.