Edge AI Guides & Hardware Intelligence
Engineering-focused articles on selecting hardware, configuring infrastructure, and solving the real constraints that define edge AI deployments — power, thermals, storage endurance, latency, and long-term maintainability. No sponsored rankings. No cloud-first assumptions.
Guides
- Jetson vs Coral TPU: Hardware Trade-offs at the Edge
- Best Edge AI Starter Kits in 2026
- SSD Endurance for Edge AI: TBW, Wear, and What to Buy
- Edge AI Reference Architecture: 8-Camera PoE Deployment
- Fanless Mini PCs for Edge AI: Thermals, Limits, and When They Work
- RAM Sizing for Edge AI Inference: 16 vs 32 vs 64 GB
- Power and UPS Sizing for Edge AI Deployments
- Networking for Edge AI: VLANs, PoE Switches, and Bandwidth Math
- Storage Layout and Ring Buffer Design for Edge AI
- Jetson Deployment Checklist: From Unboxing to Production
- NVMe for Jetson Orin Nano: PCIe Lanes, Endurance, and Drive Selection
- PoE Switch Power Budget for 8 Cameras: Calculation and Selection Guide
- YOLOv8 RAM Requirements on Jetson: Sizing by Scenario