PCBA Manufacturing Blog
Practical guides, industry insights, and manufacturing tips for PCB assembly,
component sourcing, quality control, and electronics production.
How to Choose the Right AI Hardware Platform for Your Project
A practical guide to choosing an AI hardware platform, covering GPUs, vision AI chips, SoCs with NPUs, inference accelerators, and PCBA production planning.
Computer Vision in Manufacturing: 5 Real-World Use Cases
A practical overview of computer vision in manufacturing, covering defect detection, assembly verification, predictive maintenance, safety monitoring, and inventory tracking.
AI Inference Optimization for Embedded Linux
A practical guide to AI inference optimization on embedded Linux, covering kernel tuning, CPU isolation, memory usage, hardware acceleration, power stability, and PCBA testing.
Best Practices for PCBA Design in High-Speed AI Workloads
A practical guide to high-speed AI PCBA design, covering signal integrity, DDR memory layout, PCIe routing, power integrity, thermal management, and production testing.
Deploying Transformer Models on Edge Devices: A Practical Guide
A practical guide to deploying transformer models on edge devices, covering model optimization, hardware limits, power design, thermal control, and PCBA manufacturing readiness.
2026 AI Hardware Trends: What Developers and Hardware Teams Should Watch
Explore the key AI hardware trends shaping 2026, including edge AI chips, local AI models, low-power design, RISC-V, and why PCBA manufacturing readiness matters for hardware teams.