These are sparse systems, factorization is not a strength of the gpu architectures. Typically adding more cpu cores is a better investment rather than trying to

These are sparse systems, factorization is not a strength of the gpu architectures. Typically adding more cpu cores is a better investment rather than trying to parallelize it through gpu. Nvidia has been trying for some time to make progress with cuSparse etc, although not much has been achieved in the space. Maybe they try a completely different approach with reinforcemnt learning and a ton of parallel simulations?