Coders & Pixels

Hardware Selection

2 articles

Editorial illustration for Why a 20x Power Gap Decides Your Edge AI Chip: NPU vs. GPU, and How to Choose
Hardware & Gadgets

Why a 20x Power Gap Decides Your Edge AI Chip: NPU vs. GPU, and How to Choose

Choosing the right edge AI hardware hinges on a critical 20x performance-per-watt gap between specialized NPUs and general-purpose GPUs. This article compares NPU, GPU, and FPGA architectures across power, latency, and cost to help you match hardware to your application's binding constraints.

Kaleo Kekoa·November 10, 2026
Editorial illustration for MCU, SoC with NPU, or FPGA: How to Choose Your Edge AI Hardware Category
Hardware & Gadgets

MCU, SoC with NPU, or FPGA: How to Choose Your Edge AI Hardware Category

Choosing the right edge AI hardware for consumer electronics involves evaluating power budget, inference workload, team expertise, and product lifecycle. This article provides a decision framework to compare MCUs, SoCs with NPUs, and FPGAs based on these key project constraints.

Kaleo Kekoa·November 1, 2026