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Model Sovereignty Starts at the Edge: How Protecting AI Models Preserves Enterprise Value and Competitive Advantage
Industrial AI is becoming one of the most valuable competitive assets in modern business. Across energy, manufacturing, logistics, retail, and...
Multi-Agent AI Architecture for Industrial Edge: How Specialized Agents Replace Single-Model Deployments
Photo by Simon Kadula on Unsplash The single-model deployment era of edge AI is ending. The factories, warehouses, and facilities of tomorrow...
ZEDEDA Joins Lenovo Crosswave: Bringing Orchestration to the Heart of Edge Intelligence
ZEDEDA has taken an important step in our edge strategy: we’ve joined Lenovo’s Crosswave OEM Partner Program. This move deepens our...
Fitting 4.4x More Context on Jetson: Implementing TurboQuant on NVIDIA’s AGX Thor
Six iterations of KV-cache compression: from a naive PyTorch baseline to fused vectorized Triton kernels running real LLM inference on...
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...