Edge AI
Edge AI refers to running ML inference close to where data is generated. Compared with cloud-only designs, it reduces latency, saves bandwidth, and keeps sensitive data on-site. This tag aggregates patterns for choosing models, selecting accelerators, and instrumenting systems for observability. Topics include quantization (INT8/FP16), batching strategies for real-time streams, camera and sensor pipelines, and mixed-precision math on CPUs/GPUs/NPUs. We also discuss fail-open vs. fail- safe behavior, update channels for models, and auditability for regulated industries. Practical, measurement-driven posts help teams reach deterministic performance within tight power envelopes.

RK3568 vs RK3588 for Industrial SBCs: Choosing the Right Rockchip Platform
A practical comparison of Rockchip RK3568 and RK3588 for industrial SBC projects, covering CPU performance, NPU capability, display, I/O, power, thermals, cost, …

NXP i.MX8M Plus Industrial Applications: Vision, HMI, Gateways, and Edge AI
A practical guide to NXP i.MX8M Plus industrial applications, including machine vision, HMIs, gateways, edge AI, CAN FD, TSN Ethernet, camera input, …

Industrial SBC for Machine Vision: How to Choose a Reliable Edge Vision Platform
A practical guide to choosing an industrial SBC for machine vision, covering cameras, CPU, GPU, NPU, storage, lighting, latency, thermal design, and validation …

Industrial SBC for Edge AI Gateway: Local Inference, Data Filtering, and Reliable Deployment
A practical guide to building an edge AI gateway with an industrial SBC, covering CPU, NPU, GPU, model deployment, I/O, storage, security, thermals, and …

Designing a Custom Industrial Computer Based on the Rockchip RK3588 Platform
Learn how to design a custom industrial computer using the Rockchip RK3588 platform. This guide covers system architecture, AI acceleration, display interfaces, …

AMD Ryzen Embedded SBCs: Graphics & AI at the Edge
An in-depth look at how AMD Ryzen Embedded SBCs deliver powerful graphics and AI acceleration for edge computing applications, from industrial automation to …
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