The growing list of applications for artificial intelligence (AI) covers a wide area including such things as face recognition, image processing, natural language processing, military decision making, robotic control, natural language translation, data mining - the list goes on.
Program managers are struggling to quickly deploy AI capabilities for real-time applications in the field – outside of data centers. These leaders can speed time to market by utilizing scalable commercial compute solutions from vendors with expertise in real-time, AI-ready platforms built for rugged environments.
The mere mention of artificial intelligence, AI, brings forth images of large, dimly-lit rows of high performance power hungry equipment racks in a data center. At the same time, "the edge" evokes the idea of constrained embedded systems operating in harsh forward locations enduring all types of environmental conditions. All the while taking in data, processing it, and reacting in real-time. As this "edge" becomes ever more demanding and complex, it increases the need for AI levels of performance like that in the data centers but now to be available and useable on the spot and in systems that are transportable at the edge—a big challenge that has been addressed by One Stop Systems.
The growing number of transportable AI applications, from autonomous driving to object identification in military aircraft, increases the need for users and data scientists to focus on overall AI system architecture design rather than individual innovations in a single hardware component or piece of software.
John Palmer, Content Specialist at PureB2B, explains how the time is now to embrace high-performance computing technologies and advanced artificial intelligence capabilities for your upcoming edge computing deployments.
John Palmer, Content Specialist at PureB2B, explains how the time is now to embrace high-performance computing technologies and advanced artificial intelligence capabilities for your upcoming edge computing deployments.
