Specifications
Form Factor
Rugged fanless embedded computer, 186 × 135 × 80 mm
CPU
Intel Core Ultra 7-165U / Core Ultra 5-135U (Meteor Lake)
AI Acceleration
Integrated Intel Arc GPU + NPU
Memory
2× DDR5 SO-DIMM, up to 64 GB (DDR5-5600)
Display
1× HDMI 2.1 (up to 4096 × 2160 @ 60 Hz), 1× DisplayPort 1.4a (up to 5120 × 3200 @ 60 Hz)
LAN
2× RJ45 Gigabit Ethernet
Serial
4× RS232/422/485
USB
4× USB 3.2, 2× USB 2.0, 1× USB-C (USB3.2 + DP1.4 Alt Mode)
Expansion
M.2 B-key 3042/3052 (LTE/5G + Nano-SIM), M.2 E-key 2230 (Wi-Fi 6E/BT 5.2), M.2 M-key 2280 (storage)
Operating Temperature
−20 °C to +60 °C
Power Input
9–36 V DC wide-range
Cooling
Fanless, anti-vibration design
Related Family
EBS-S510W (Core Ultra 200U), EBS-S110W (Intel Atom)
Certifications
Industrial-grade EMC and safety
Overview
The ASUS IoT EBS-S500W is a rugged, fanless embedded computer for edge AI inference in factory automation, machine vision, video analytics and autonomous systems. It is available with Intel Core Ultra 7-165U or Core Ultra 5-135U processors, integrating an Arc GPU and NPU for real-time on-device AI without a discrete accelerator.
The system supports up to 64 GB of DDR5 memory, dual Gigabit Ethernet, four serial ports with RS232/422/485 signaling, HDMI 2.1 and DisplayPort 1.4a outputs, and USB-A/USB-C connectivity. M.2 B-key, E-key and M-key slots add 5G/LTE, Wi-Fi 6E/Bluetooth 5.2 and NVMe storage. A wide 9–36 V DC input and a −20 °C to +60 °C operating range make it suited to control cabinets and semi-outdoor industrial sites; its siblings EBS-S510W and EBS-S110W cover Core Ultra 200U and Intel Atom tiers.
Key Benefits
Intel Core Ultra with integrated Arc GPU + NPU for local AI inference at low power. Rich industrial I/O — dual LAN, four COM, HDMI 2.1, DP 1.4a and USB-C. Rugged wide-temperature fanless design with 9–36 V input for factory floors and semi-outdoor enclosures.
Applications
Factory automation and machine vision, video analytics and surveillance, autonomous vehicles and AMRs, industrial controllers, smart manufacturing and edge AI inference.
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