The rapid evolution of AI has placed new demands on infrastructure—especially where low latency, reliability and real-time responsiveness are critical. These requirements are pushing more deployments to the edge.
Techstrong Research polled our community of security, cloud and DevOps readers and viewers to understand how organizations are adopting and operationalizing edge-based AI. The findings reveal a clear trend: While cloud-based AI remains dominant, there is a growing shift toward edge deployments as organizations seek greater performance and control. Yet, many still face major barriers—particularly in tooling and talent. As a result, most edge AI initiatives remain early-stage and fragmented, with customization and automation capabilities emerging as key enablers.
Techstrong Research brings you this PulseMeter report sponsored by Latent AI, supported by our independent research data. Learn more by downloading the full report.
Check out our many research reports, trends and technical insights on DevOps, cloud native, AI, security and more in the Techstrong Research resource center.
