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Edge Computing Hardware Guide: Gateways, Industrial PCs, Embedded Controllers

Edge Computing Hardware Guide: Gateways, Industrial PCs, Embedded Controllers

2026-06-27·Tom Harrison·Embedded Systems Engineer

Edge computing hardware guide for industrial IoT

Edge Computing Hardware Guide: Gateways, Industrial PCs, and Embedded Controllers

Edge computing moves processing down to where the data actually lives — less latency, lower bandwidth bills, less cloud dependency. Here's how to choose edge hardware, from simple gateways to AI-capable industrial PCs.

Edge Hardware Tiers

TierProcessingMemoryStorageOSCostExample
Light gatewayCortex-A7256MB-1GB4-8GB eMMCLinux/RTOS$30-80Raspberry Pi CM4 industrial
Mid-rangeCortex-A53/A721-4GB8-32GBEmbedded Linux$80-250NXP i.MX 8M Plus
PerformanceCortex-A78/X14-16GB32-256GBLinux/Windows IoT$200-800NVIDIA Jetson Orin NX
Industrial PCx86 (Atom/Core)8-64GB128GB-2TB SSDWindows/Linux$500-3000Advantech, Kontron

Light Gateways: Protocol Translation + Basic Filtering

Best for: Modbus-to-MQTT bridging, basic data filtering, simple dashboards

Don't use for: Video processing, ML inference, heavy database workloads

We've seen teams over-buy here — a $200 gateway for a job a $40 one handles fine.

Popular hardware:

  • Raspberry Pi Compute Module 4 (industrial variant, -20°C to 85°C)
  • STM32MP157 (Cortex-A7 + Cortex-M4, real-time capable)
  • Mediatek Genio 350 (Yocto Linux, 10-year availability)

Mid-Range: Local Analytics + Dashboard

Best for: Video analytics (single camera), industrial protocol gateways, local HMI

Popular hardware:

  • NXP i.MX 8M Plus (integrated 2.3 TOPS NPU)
  • TI AM62x (Linux, industrial temperature, 10+ year availability)
  • Rockchip RK3568 (quad Cortex-A55, NPU, under $30 in volume)

Chinese options:

  • Rockchip RK3588 (quad A76 + quad A55, 6 TOPS NPU, 8K decode)
  • Allwinner T527 (octa-core A55, 2 TOPS NPU, cost-optimized)

Performance Tier: AI Inference at the Edge

Best for: Multi-camera video analytics, defect detection, predictive maintenance

Popular hardware:

  • NVIDIA Jetson Orin NX (70-100 TOPS, CUDA ecosystem)
  • Hailo-8 M.2 module (26 TOPS, PCIe, pairs with any x86/ARM host)
  • Google Coral M.2 (4 TOPS, TensorFlow Lite)

Industrial PCs: When You Need x86

Best for: Legacy Windows software, complex HMIs, factory floor integration

Key brands:

  • Advantech (UNO, ARK, MIC series — wide temperature)
  • Kontron (KBox series, railway certified)
  • OnLogic (fanless, industrial, customizable)

Chinese IPC makers:

  • EVOC (研祥) — China's largest IPC manufacturer
  • Norco (华北工控) — Competitive pricing, wide range
  • AAEON (研扬) — Asus subsidiary, good quality

Selection Checklist

  1. Temperature range: 0-50°C (commercial) vs -40 to 85°C (industrial). Industrial-rated hardware costs 2-3x more.
  2. Mounting: DIN rail for control cabinets, VESA for displays, wall-mount for gateways
  3. I/O count: 2x Ethernet for network segmentation, isolated RS-485 for industrial protocols, CAN for vehicle interfaces
  4. Certifications: CE/FCC for general use, EN 50155 for railway, ATEX for hazardous areas
  5. Lifecycle: Industrial suppliers guarantee 7-15 year availability. Consumer-grade SBCs change every 1-2 years.
  6. Power: 9-36V DC input for industrial/vehicle use. Don't rely on USB power in the field.

Sourcing Edge Hardware

The CM4 shortage in 2021-2023 burned us — now we confirm stock before quoting.

  • Single-board computers: Lead times have normalized (4-8 weeks for industrial variants). CM4 shortages (2021-2023) are resolved.
  • NVIDIA Jetson: Orin series is in production; stock available through Arrow and Avnet.
  • Custom carrier boards: For volume >1000 units, design your own carrier around a compute module. Costs $10-30K for design + $50-100/board at volume.

Related Articles

References

TH

Written by Tom Harrison

Embedded Systems Engineer · Shenzhen, China

Tom designs and reviews embedded systems projects at PartsCube Global, from MCU selection to wireless modules. He has built products for IoT, industrial control and consumer devices.

View all articles by Tom →

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