Technology Never Stands Still, and Neither Do We
Validated Mini-ITX platforms engineered for reliable deployment in industrial, edge, and embedded system environments.
Mini-ITX Projects Built Around System Requirements
From I/O and power to thermal and mechanical constraints, each project reflects a different engineering challenge.
Explore by What Matters to You
Find case studies by industry, deployment environment, or technical requirement.
By Industry
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Industrial Automation
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Medical Devices
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Smart Infrastructure
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AI & Vision Systems
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Transportation / Rail
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Retail / Digital Signage
By Deployment Type
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Fanless & Silent
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Harsh Outdoor
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Mobile & Vibration-Resistant
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Cleanroom / Dust-Free
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24/7 High Uptime
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Compact / VESA-Mount
By Core Technology
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Intel Atom / Core / Xeon
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AMD Ryzen Embedded
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NVIDIA Jetson Series
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NXP i.MX8M / ARM Cortex-A
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Dual-NIC / COM-heavy boards
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Fanless / Rugged Platforms
Medical Embedded System
Compact Fanless Platform for UK Diagnostic Equipment
A UK manufacturer of portable diagnostic equipment
Representative view of a compact embedded computing
platform integrated into portable diagnostic equipment.
Application
Diagnostic Equipment
Deployment
United Kingdom
Cooling
Fanless
01
Requirement
The system required fanless operation, multiple USB connections for diagnostic peripherals, low power demand, and a compact computing platform that could fit within the existing portable enclosure.
02
Platform & Configuration
An Intel® Atom™ embedded platform was selected to balance processing capability, peripheral connectivity, power consumption, and passive cooling requirements.
Representative project configuration shown; final project specifications may differ.
Processor
Intel® Atom™ Embedded
Memory
8 GB DDR4
Storage
128 GB Industrial SSD
USB
4 × USB 3.0
Display
HDMI / eDP
Network
Gigabit Ethernet
Power
12 V DC Input
Cooling
Fanless Passive
03
Engineering Changes
USB placement and peripheral access were reviewed against the enclosure layout. Board position, power distribution, connector access, and the passive cooling path were considered within the available mechanical space.
04
Validation
Integration checks focused on the operating conditions most relevant to the assembled diagnostic system.
USB Peripheral Operation
System Startup
Sustained Load
Thermal Behavior
Enclosure Fit
05
Deployment & Result
The configuration was integrated into portable diagnostic equipment for deployment in the UK.
The required peripheral set was accommodated within the available enclosure space without adding an active cooling fan.
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Evidence Basis
Project requirements, configuration records, integration checks, and customer deployment feedback. Customer identity and project-specific documentation are withheld under NDA.
01
Requirement
The operator needed to replace an aging embedded computing platform while retaining dual-network connectivity, compatibility with the existing installation, and stable operation under the expected temperature and vibration environment.
02
Platform & Configuration
An AMD Ryzen™ Embedded platform was selected to provide additional compute headroom while maintaining the networking and mechanical requirements of the existing control system.
Representative project configuration shown; final project specifications may differ.
Processor
AMD Ryzen™ Embedded
Memory
16 GB DDR4
Storage
Industrial SSD
Ethernet
2 × Gigabit Ethernet
Display
HDMI / DisplayPort
Expansion
M.2 / PCIe
Power
Industrial DC Input
Cooling
Industrial Thermal Design
03
Engineering Changes
Network interfaces, board mounting, connector access, power integration, and thermal management were reviewed against the existing rail equipment architecture.
04
Validation
Engineering checks focused on system stability and integration under the operating conditions relevant to the installed rail equipment.
Dual Ethernet Operation
System Startup
Sustained Compute Load
Thermal Behavior
Mechanical Fit
05
Deployment & Result
The upgraded platform was integrated into the existing control-system architecture for deployment in Germany.
The replacement preserved the required network and installation interfaces while providing additional computing capacity for the updated application.
06
Evidence Basis
Project requirements, configuration records, integration checks, and customer deployment feedback. Customer identity and project-specific records are withheld under NDA.
Rail Embedded System
Embedded Computing Upgrade for a German Rail System
A railway operator in Germany
Representative view of an embedded computing platform
integrated into rail control equipment.
Application
Rail Control
Deployment
Germany
Networking
Dual Ethernet
Have Similar System Requirements?
Share your target platform, I/O, power, thermal, mechanical, and deployment requirements. We can review the closest existing configuration and identify the changes needed for your system.
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BIOS, I/O, power, and mechanical configuration
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Prototype quantities for engineering evaluation
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Validation scope defined around the final configuration
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Production documentation and revision control
Edge AI Retail System
Edge AI Platform for Interactive Retail Kiosks in the USA
A US retail technology integrator
Representative view of an edge AI computing platform
integrated into an interactive retail kiosk.
Application
Interactive Kiosk
Deployment
United States
Workload
Edge AI
01
Requirement
The kiosk required local AI processing, high-resolution display output, network connectivity, and support for interactive peripherals within a compact enclosure designed for continuous retail operation.
02
Platform & Configuration
An NVIDIA® Jetson™ platform was selected to run AI inference locally while supporting the display, storage, networking, and peripheral requirements of the kiosk.
Representative project configuration shown; final project specifications may differ.
Compute
NVIDIA® Jetson™
Memory
8 GB
Storage
128 GB NVMe
Display
HDMI
Network
Gigabit Ethernet
Wireless
Wi-Fi
USB
USB 3.0
AI Workload
Local Inference
03
Engineering Changes
Display, USB, networking, storage, and power interfaces were reviewed around the kiosk architecture. Thermal integration was also considered for sustained AI processing inside the enclosed installation.
04
Validation
Integration checks focused on simultaneous operation of the AI workload, display, network connection, and interactive peripherals.
AI Workload
Display Output
USB Peripherals
Network Operation
Thermal Behavior
05
Deployment & Result
The platform was integrated into interactive retail kiosks for deployment in the United States.
AI inference and kiosk interaction could run locally on the embedded platform while maintaining the required display, network, and peripheral interfaces.
06
Evidence Basis
Project requirements, configuration records, integration checks, and customer deployment feedback. Customer identity and project-specific documentation are withheld under NDA.
01
Requirement
The monitoring station required low power consumption, multiple sensor interfaces, local data storage, and reliable unattended operation at remote outdoor sites powered by a solar-backed DC system.
02
Platform & Configuration
An NXP i.MX8M-based platform was selected for its low-power architecture, flexible peripheral interfaces, and suitability for continuous embedded operation.
Representative project configuration shown; final project specifications may differ.
Processor
NXP i.MX8M
Memory
4 GB LPDDR4
Storage
32 GB eMMC
Sensor I/O
RS-485 / GPIO
Network
Gigabit Ethernet
Wireless
LTE / Wi-Fi Option
Power
Low-Power DC Input
Cooling
Fanless
03
Engineering Changes
Sensor connectivity, power consumption, storage, remote communications, and enclosure integration were reviewed around the station architecture and available solar-backed power budget.
04
Validation
Integration checks focused on continuous data acquisition, peripheral communication, startup behavior, power demand, and operation within the target enclosure.
Sensor Communication
System Startup
Storage Operation
Power Consumption
Enclosure Integration
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Deployment & Result
The platform was integrated into remote environmental monitoring stations deployed in Canada.
Customer feedback indicates that the systems have remained in field operation for more than 12 months with limited maintenance while supporting continuous environmental data collection.
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Evidence Basis
Project requirements, configuration records, integration checks, and customer-reported field operation. Customer identity and project-specific documentation are withheld under NDA.
Remote Monitoring System
Low-Power Embedded Platform for Remote Environmental Monitoring in Canada
A Canadian environmental monitoring solution provider
Representative view of a low-power embedded platform
integrated into a remote environmental monitoring station.
Application
Environmental Monitoring
Deployment
Canada
Power
Solar-Backed
Engineering Details Behind System Integration
Every port placement, connector angle, and signal trace on our Mini-PCBA boards is built to solve real installation problems. In smart devices across Europe and North America, our engineering choices make systems work faster, run cooler, and fit tighter.
Clean USB Signal, Even at High Density
Our USB layout reduces signal crosstalk, even when you run six ports side by side. That means clearer, more reliable connections for SSDs, barcode scanners, and cameras in noisy industrial environments.
Fit-to-Case Port Alignment
We don’t just add ports—we make sure they land in the right place. Our boards support vertical, angled, or low-profile USB headers, so you never have to rework a chassis or use adapters.
Steady, Protected USB Power
Each port delivers stable 5V output with per-port fusing. This helps prevent resets or damage when peripherals spike or stall. From kiosks to medical devices, that means fewer failures in the field.
Engineering Choices for Deployment
Thermal design, mechanical fit, power delivery, and lifecycle control are reviewed around the final system configuration.
Fanless Thermal Design
Cooling is reviewed around processor load, enclosure design, and available airflow.
Mechanical Fit
I/O, mounting points, and clearances are checked against the target enclosure.
Power Stability
Input power, startup behavior, and peripheral load are checked for the selected configuration.
Revision Control
BOM, firmware, BIOS settings, and component changes can be controlled for production.
Explore the Engineering Behind These Applications
Read practical guides on power, PCIe, platform selection, thermal design, and embedded system integration.
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SCADA vs PLC: Differences, Architecture, and Hardware Risks
In a SCADA vs PLC comparison, the core difference is functional: a PLC executes machine or process control close to the equipment, while SCADA supervises, visualizes, records, and reports system…
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Mini-ITX Motherboards with Thunderbolt 4: Support and Design Checks
Mini-ITX motherboards with Thunderbolt 4 support are available, but a USB-C connector or USB4 label alone does not confirm full Thunderbolt 4 capability. The exact board must support the controller,…
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Mini-ITX Boards with 4 RAM Slots: Limits and Options
A true Mini-ITX motherboard with 4 RAM slots is uncommon. The 170 × 170 mm board area must accommodate the CPU socket, memory, power delivery, rear I/O, storage connectors, and…
