  We give a general formulation of the utility maximization problem under
nondominated model uncertainty in discrete time and show that an optimal
portfolio exists for any utility function that is bounded from above. In the
unbounded case, integrability conditions are needed as nonexistence may arise
even if the value function is finite.
