Organizations seeking to squeeze as much insight out of their data reserves want to be able to realize connections between different types of data — and across as much data as possible. Deep learning offers an answer, leapfrogging simpler analytic techniques.

Innovators of deep learning algorithms and applications need access to high-performance computing (HPC), leading to an urgent question for any cutting-edge startup: What kind of HPC resources are most cost-effective for the development and delivery of AI-based analytics products?