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Blogs
ZEDEDA and SORBA.ai Partner to Accelerate Delivery of Low-Code AI Models at the Edge
Getting AI models into production at the edge is hard. Building them, packaging them, and deploying them reliably across hundreds...
The Intelligent Field: How AI and Realtime Are Reshaping Oil and Gas Operations on the Ground
For decades, industrial field operations have run on instinct, experience, and scheduled maintenance windows. Equipment runs until it doesn’t. Data...
Edge AI Models Explained: Balancing Accuracy, Power, and Thermal Limits
Cloud computing, with its virtually unlimited set of resources, leads people to expect a lot from AI. In a big...
How to Design Distributed AI Infrastructure Using Network Architecture Principles
A Technical Deep-Dive into Distributed AI at the Edge Introduction There is a profound architectural parallel hiding in plain sight...
How to Build Flexible AI Quality Inspection for Manufacturing Using LLMs
A technical deep-dive into the ZEDEDA Camera Monitoring Agent for PCB Quality Inspection at the Edge using NVIDIA Jetson Thor...
Bringing Edge Intelligence to the Heart of Your Operations
When I talk to customers about the edge, I always try to get to where the rubber meets the road....
Edge Intelligence: Bringing Autonomous AI to the Physical World
Why “Edge Intelligence”? When we founded ZEDEDA, our mission was simple: make it effortless to deploy and manage edge infrastructure reliably,...
2026 Predictions: How Edge AI is Reshaping Industrial Operations
In 2026, AI will increasingly be defined by where it runs. As intelligence is deployed across factories, retail environments, and...
How to Build an Edge AI Model for Car Make and Model Recognition: Step-by-Step Guide
For software architects building edge systems, shifting from traditional systems design to AI implementation often presents a specific hurdle: how...
How to Build Zero-Shot Anomaly Detection with Vision Language Models, NVIDIA Jetson, and Ollama
Introduction Here at ZEDEDA, we’re always pushing the limits of running AI at the edge. We’re especially excited by powerful...
Understanding Containers at the Edge with ZEDEDA: Choosing the Right Tool for Every Workload
How ZEDEDA brings consistency, choice and scale to edge environments Edge environments are diverse by design. Some sites run compact,...
Manage Edge AI Using ZEDEDA Edge Kubernetes Service: Bringing Inference to the Edge
How ZEDEDA extends Kubernetes to simplify AI deployment across diverse edge environments AI workloads are moving closer to the data...