RESOURCES
A Technical Deep-Dive into Distributed AI at the Edge Introduction There is a profound architectural parallel hiding in plain sight...
A technical deep-dive into the ZEDEDA Camera Monitoring Agent for PCB Quality Inspection at the Edge using NVIDIA Jetson Thor...
When I talk to customers about the edge, I always try to get to where the rubber meets the road....
Why “Edge Intelligence”? When we founded ZEDEDA, our mission was simple: make it effortless to deploy and manage edge infrastructure reliably,...
In 2026, AI will increasingly be defined by where it runs. As intelligence is deployed across factories, retail environments, and...
For software architects building edge systems, shifting from traditional systems design to AI implementation often presents a specific hurdle: how...
Introduction Here at ZEDEDA, we’re always pushing the limits of running AI at the edge. We’re especially excited by powerful...
How ZEDEDA brings consistency, choice and scale to edge environments Edge environments are diverse by design. Some sites run compact,...
How ZEDEDA extends Kubernetes to simplify AI deployment across diverse edge environments AI workloads are moving closer to the data...
Discover how ZEDEDA turns complex edge AI orchestration into a repeatable, scalable process—from first deployment to effortless updates across every...
Imagine standing on a remote oil rig or overseeing a vast, unmanned logistics hub. Your business mandate is clear: use...
At ZEDEDA, we know that at the distributed edge connectivity isn’t guaranteed, it’s a spectrum that ranges from always-on to...