ASRock Industrial iEP-6010E NVIDIA Jetson Orin NX AI Edge Computers with DIN Mount

Running vision or inference models next to the machine, rather than in a server room, means the computer has to cope with cabinet heat, cold starts, vibration and an unregulated DC supply. The ASRock Industrial iEP-6010E series is a range of rugged edge AI computers designed for that position: an ultra-compact case that mounts vertically on a DIN rail or a wall, with a 12 to 36 V DC input protected against 80 V surges, over-voltage, under-voltage, over-current and reverse polarity.

All three models use the NVIDIA Jetson Orin NX 16GB module with 16 GB of 128-bit LPDDR5, rated at up to 100 sparse (50 dense) INT8 TOPS and running NVIDIA JetPack 5. Storage is an M.2 M-key 2280 socket for a PCIe Gen4 x4 or Gen3 x4 NVMe SSD plus a microSD slot, with TPM 2.0 on board. The shared I/O covers one HDMI 2.0 output, two USB 3.2 Gen 2 ports (one locking), two USB 2.0 ports, one RS-232 and one RS-232/422/485 port, and two DB15 connectors carrying four digital inputs, four digital outputs, CAN bus, I2C and SPI. An M.2 E-key socket takes a Wi-Fi module, and a locking USB Type-C PD 20 V input can act as a backup supply.

The iEP-6010E-000 is the basic model: two Gigabit LAN ports in a 55 mm wide, 1.3 kg case, with an M.2 B-key socket that can hold a second SSD. The iEP-6010E-001 adds two Intel I210AT Gigabit ports with IEEE 802.3af PoE, so it can power two cameras or sensors directly. The iEP-6010E-003 uses its M.2 B-key socket for a 5G or 4G LTE module, with a nano SIM slot and up to four cellular and two Wi-Fi antennas. The PoE and 5G models share a 68 mm wide, 1.6 kg case.

ASRock Industrial rates the iEP-6010E series from -25 °C to 60 °C with a wide temperature Gen3 NVMe SSD, or to 55 °C with a Gen4 SSD or a 5G module (the 5G case with 0.5 to 0.8 m/s of airflow). Operating shock is 100 G to IEC 60068-2-27 and random vibration 5 Grms to IEC 60068-2-64, and the design targets CE and FCC Class A to EN 61000-6-4 and EN 61000-6-2. These rugged edge AI computers suit machine vision and inspection, camera analytics at gates and loading bays, and remote sites linked over 5G.