Leveraging The Edge When AI Has To Be Real-Time, Reliable, And Low Latency
Techstrong.IT, December 12,2025
In AI's first great phase of lightning-quick adoption and development, the most common approach has been to use services based in the cloud. But many organizations have recognized the limitations of cloud-based AI: while ideal for rapid implementations and quick results, data management and security concerns have naturally led to investment in on-premises, data center-based AI as well.
In 2025, Techstrong Research polled our community of infrastructure, systems management, and AI readers and viewers to identify those involved in edge AI applications, gather their perspectives, and gain insight into how this promising area of AI is developing. The results tell this story of the evolution of AI deployments from the cloud to the data center and now to the edge, and how AI developers' needs both differ and align from one environment to the next.