Taking AI development and test to the cloud

Many organizations leverage cloud-based HPC resources to develop and test AI models, and then move the production models to on-premises systems -- for lots of good reasons. For enterprises looking to gain a competitive edge with artificial intelligence systems, it's off to the races. Everyone is trying to get there first, which means that everyone has a need for speed in their software development and testing processes. This sense of urgency is one of the reasons organizations increasingly look to the cloud for fast access to flexible pools of high performance computing resources. For example, if your organization wants to train a neural network to drive a recommendation engine or a natural language processing application, you might need access to dozens of compute nodes, some accelerators, fast interconnects and high-speed storage.