AAEON Launches New Industrial Motherboards
The MAX-Q870A and MAX-H810A industrial boards debut with support for Intel Core Ultra 200S processors.
Updated on Oct. 21, 2026 in Semiconductors
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AAEON has released two new industrial motherboards, the MAX-Q870A and MAX-H810A. These boards integrate Intel Core Ultra 200S series processors to support advanced industrial computing needs.
Why it matters
The MAX-Q870A is specifically optimized for AI and machine vision tasks, while the MAX-H810A offers a cost-effective solution for industrial automation. These additions provide specialized hardware configurations for distinct professional environments.
The MAX-Q870A supports up to 256 GB of DDR5 memory via four slots, while the MAX-H810A manages 128 GB across two slots. Both boards feature 2.5 GbE LAN ports and support 4K display outputs at 60 Hz.
The players
AAEON
This company is a manufacturer of industrial motherboards and embedded computing platforms.
Vepac Electronics
This organization serves as a retailer and distributor for industrial hardware components.
The details
The MAX-Q870A features four PCIe slots for extensive peripheral connectivity, and the MAX-H810A provides a mix of PCIe Gen 5 and Gen 4 slots for flexible expansion. These units are currently maintained in inventory at Vepac Electronics.
Timeline
The new industrial motherboards were released in October 2026.
The Tech Race
The adoption of Intel Core Ultra 200S series processors marks a shift toward high-performance AI capabilities in industrial computing hardware. By integrating these chips, AAEON positions its boards to compete in the growing market for edge-based machine vision and automation.
Professional system integrators can now utilize these boards to build more powerful automation or machine vision systems. These components facilitate higher data processing capabilities and improved display performance for industrial control stations.
The takeaway
These motherboards demonstrate the continued specialization of hardware for AI and automation tasks. Users should select the board based on power requirements and memory needs to optimize cost and performance for their specific application.
Further reading
For more information on hardware developments, visit the Semiconductors section.
Source note: This article includes information reported by Instrumentation.
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