SAN MATEO, Calif.--(BUSINESS WIRE)--Camio announced today at GSX a way to run sophisticated Computer Vision and AI workloads at the edge as Kubernetes clusters, reducing the costs of deploying security and business intelligence AI applications by 73%.

Camio Flex, the new Cloud Native Kubernetes Video Management System alternative, runs AI anywhere along its video processing pipeline—from edge to cloud—to reduce hardware and automate critical storage, scale, and lifecycle management functions. General-purpose computing tasks—once reserved for sophisticated data centers—can be orchestrated at the edge, even across IP cameras on a 5G/CBRS network. Camio brings the billions of dollars invested by big tech cloud providers to existing IP cameras in the security industry.

Camio Flex also utilizes the latest advances in edge AI processors. For example, with the edge processing power of Qualcomm Technologies, Inc.'s system on a chip easily accessible from containers, Camio enables a cluster of IP cameras to work together to run AI tasks and data pipelines that exceed the real-time computational power of any single Node in the cluster. The resulting combination delivers one of the most cost-effective ways to run visual intelligence applications across security, retail, biotech, manufacturing, healthcare, and financial services.