ASUS PE1100N Edge AI System — NVIDIA Jetson Orin NX/Orin Nano
$1,577.19
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ASUS PE1100N Edge AI System — NVIDIA Jetson Orin NX/Orin Nano
$1,577.19
The ASUS PE1100N is a fanless, ultra-compact edge AI computer built on the NVIDIA Jetson Orin platform. It is engineered for embedded and robotics engineers who need to deploy computer-vision and inferencing workloads into vehicles, kiosks, production lines and outdoor infrastructure rather than a data-center rack.
Who it's for
- Traffic and vehicle analysis, people-counting, license-plate recognition and surveillance
- Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs)
- Automated optical inspection (AOI) on production lines
Key features
- NVIDIA Jetson Orin module, configurable to your workload: Orin Nano 4GB, Orin Nano 8GB, Orin NX 8GB or Orin NX 16GB, all with Arm Cortex-A78AE cores and an Ampere GPU (core counts in the table below).
- Up to 100 TOPS of AI inferencing: the Orin NX 16GB in Super Mode reaches roughly 100 TOPS, with the other variants scaling down, inside a 10–25W power envelope and up to 18x better performance-per-watt than a comparable x86 platform.
- Fanless, MIL-STD-810H-tested chassis: a 152 x 114 x 72mm extruded-aluminium enclosure weighing 1.4kg, shock- and vibration-tested to MIL-STD-810H Method 514.8/516.8.
- Industrial I/O: 2x Gigabit Ethernet, 3x USB 3.2 Gen1 Type-A, 2x RS-232/422/485 serial (DB9), 1x CAN bus (DB9) and an isolated 4x DI / 4x DO terminal block for sensors, PLCs and actuators.
- Modular expansion via M.2: an M-key slot for NVMe storage (128GB/256GB/512GB options), an E-key slot for Wi-Fi/Bluetooth, and a B-key slot with dual nano-SIM for 4G/5G cellular.
- Wide-range power and temperature tolerance: runs from 12–24V DC (3-pin terminal block, with an optional 65W AC adapter for bench use) across a –20°C to 50°C operating range.
- AWS IoT Greengrass certified: validated for cloud-connected edge AI deployments.
- TPM 2.0 and hardware watchdog: onboard security and automatic recovery from software hangs for unattended field deployments.
Specifications
| Spec | Detail |
|---|---|
| Compute Module | NVIDIA Jetson Orin Nano 4GB / Orin Nano 8GB / Orin NX 8GB / Orin NX 16GB |
| CPU | 6-core Arm Cortex-A78AE (Orin Nano) or 8-core Arm Cortex-A78AE (Orin NX) |
| GPU | 512-core NVIDIA Ampere with 16 Tensor Cores (Nano 4GB) or 1024-core Ampere with 32 Tensor Cores (Nano 8GB / NX 8GB / NX 16GB) |
| Module Memory | 4GB, 8GB or 16GB LPDDR5 (64-bit or 128-bit, module-dependent) |
| AI Performance | Up to 100 TOPS (Orin NX 16GB, Super Mode) |
| Storage | M.2 2280 M-key NVMe SSD, 128GB / 256GB / 512GB options |
| Display | 1x HDMI (1.4a, 4K30 on Orin Nano SKUs; 2.0b, 4K60 on Orin NX SKUs) |
| Networking | 2x Gigabit Ethernet (RJ-45), M.2 E-key 2230 for Wi-Fi/Bluetooth, M.2 B-key 3042/3052 for 4G/5G with dual nano-SIM |
| USB | 3x USB 3.2 Gen1 Type-A, 1x USB 2.0 Micro-USB (OS flash/debug), 2x USB 2.0 internal header |
| Serial and Fieldbus | 2x RS-232/422/485 (DB9), 1x CAN bus (DB9) |
| Digital I/O | 4x isolated DI + 4x isolated DO (terminal block) |
| Security | TPM 2.0, hardware watchdog timer |
| Power Input | 12–24V DC, 3-pin terminal block; optional 65W AC adapter (100–240VAC in, 19VDC/3.42A out) |
| System Power Draw | Approx. 10–25W |
| Operating Temperature | –20°C to 50°C |
| Storage Temperature | –40°C to 85°C |
| Humidity | 10–95% non-condensing |
| Shock / Vibration | MIL-STD-810H Method 516.8 (shock) / Method 514.8 (vibration) |
| Dimensions | 152 x 114 x 72mm |
| Weight | 1.4kg |
| Chassis | Fanless extruded-aluminium, wall/DIN-rail mountable |
| Operating System | Ubuntu Desktop (NVIDIA JetPack / L4T), with NVIDIA Isaac ROS / ROS2 support |
| Certifications | CE, FCC, RoHS; AWS IoT Greengrass Qualified Device |
Good to know
- This is an inferencing and computer-vision deployment platform, not a training rig. You develop and fine-tune models elsewhere and deploy the optimized model to the PE1100N.
- Every module runs the same NVIDIA JetPack/L4T-based Ubuntu environment used across the Jetson family, with NVIDIA Isaac ROS and ROS2 support, so work from a Jetson dev kit or a larger Jetson AGX system carries over.
Choose the PE1100N when the hardware has to survive vehicle vibration and unheated cabinets, and pick the module that matches your model.