TidalScale, Powering Software-Defined Servers:
Executing and analyzing large, complex models pose unique computing challenges. And these challenges are only growing as companies face the need to process, analyze, and act on ever-increasing amounts of data. Typically, IT professionals are faced with two options: scale-up by purchasing extremely expensive specialized computers, or scale-out by rewriting applications using complex distributed algorithms for running on clusters of standard hardware. One costs money, the other costs time. And in today’s budget-conscious, real-time world, few organizations can afford either.