ASUS
ASUS 90AE0191-M002H0 PE1100N Orin NX 16GB LPDDR5 AI edge system
Compact fanless edge AI system with NVIDIA Jetson Orin NX, 16 GB LPDDR5, 100 TOPS, dual Gigabit LAN, HDMI 2.0b, M.2 slots for SSD, Wi-Fi and 5G, 12-24 VDC, -20 to 50 °C
- Form FactorCompact
- CPU TypeARM
- Installed CPU8 x Arm Cortex-A78AE v8.2
- CPU FeaturesAI Performance 100 TOPS
- Installed Memory Size16 GB 128-bit LPDDR5
- Installed HDDNo Storage Installed
- 100 TOPS AI performance from 8-core Arm Cortex-A78AE processor
- 16 GB 128-bit LPDDR5 memory for high-bandwidth inference
- 1024-core NVIDIA Ampere GPU with 32 Tensor Cores
- Fanless compact design operating from -20 to 50 °C
- Flexible expansion via M.2 M, E and B keys for storage, Wi-Fi and 5G
Compact ARM AI system
The ASUS PE1100N bundles an 8-core Arm Cortex-A78AE v8.2 processor with a 1024-core NVIDIA Ampere GPU and 32 Tensor Cores, delivering 100 TOPS of AI performance. It targets developers and integrators deploying inference workloads at the edge in industrial, robotics or smart-city scenarios. The fanless chassis operates from -20 to 50 °C on a 12 to 24 VDC supply.
Installation and common issues
The unit mounts in a compact footprint and accepts a 3-pin terminal block with a remote power-button pin. Storage, Wi-Fi/BT and 4G/5G are added through three M.2 slots: M key 2242/2260/2280 for PCIe SSD, E key 2230 for wireless, B key 3042/3052 for cellular. Builders often forget to populate the M.2 M key slot, leaving the system without an OS drive.
Capacity and headroom
Sixteen gigabytes of 128-bit LPDDR5 feeds the GPU and CPU for concurrent model execution and video decode at 3840 x 2160 @60 Hz via HDMI 2.0b. Dual Gigabit LAN, three USB 3.2 Gen1 ports, two isolated RS-232/422/485 ports, one CAN bus and eight digital I/O lines handle sensor fusion tasks. Memory and storage ceilings are reached when multiple large models or high-resolution streams run simultaneously.
Highlights
- 100 TOPS AI performance from 8-core Arm Cortex-A78AE processor
- 16 GB 128-bit LPDDR5 memory for high-bandwidth inference
- 1024-core NVIDIA Ampere GPU with 32 Tensor Cores
- Fanless compact design operating from -20 to 50 °C
- Flexible expansion via M.2 M, E and B keys for storage, Wi-Fi and 5G
Specifications
| Brand | ASUS |
|---|---|
| Model | PE1100N / Orin NX 16G/US |
| Part Number | 90AE0191-M002H0 |
| Form Factor | Compact |
| CPU Type | ARM |
| Installed CPU | 8 x Arm Cortex-A78AE v8.2 |
| CPU Features | AI Performance 100 TOPS |
| Installed Memory Size | 16 GB 128-bit LPDDR5 |
| Installed HDD | No Storage Installed |
| M.2 | M.2 M key: 1 x 2242/2260/2280, for M.2 SSD (PCIe, OS disk, size option) M.2 E key: 1 x 2230, for Wi-Fi/BT (PCIe, USB 2.0, I2C and PCM) M.2 B key: 1 x 3042/3052, for 4G/5G (PCIe, USB 2.0/3.0) |
| GPU/VPU | 1024-core NVIDIA Ampere GPU with 32 Tensor Cores |
| Max. LAN Speed | Dual 1 Gigabit |
| Front USB | 3 x USB 3.2 Gen1, Type-A |
| COM | 2 x RS-232/422/485, DB9 1 x CAN bus, DB9 |
| HDMI | 1 x HDMI 2.0b, 3840 x 2160 @60Hz |
| RJ45 | 2 |
| Other Ports | 4 x DI, 4 x DO (2x5 Terminal Block, w/ isolation) |
| Max. Power | 12 to 24 VDC, 3-pin terminal block (1-pin for remote power button) |
| Temperature | Operating Temp. -20 ~ up to 50°C Storage Temp. -40 ~ 85°C |
| Humidity | 10 ~ 95% (non-condensing) |
| Dimensions | Board: 3.5", 146 x 105 mm System: 152 x 114 x 72 mm |
| Weight | 1.4kg |
| Shipping weight | 1.97 kg |
| Package size | 254 × 229 × 114 mm |
Questions about this item
How can I verify the 100 TOPS AI performance is active after setup?
The system reports 100 TOPS from the 8 Cortex-A78AE cores and 1024-core NVIDIA Ampere GPU with 32 Tensor Cores; run the Jetson stats utility or NVIDIA tegrastats to confirm GPU and tensor utilisation under load.
What ships in the box and which storage or wireless modules must be purchased separately?
The unit includes the fanless PE1100N with 16 GB 128-bit LPDDR5 soldered on board; no eMMC or SSD is installed, so you must add an M.2 M-key 2242/2260/2280 PCIe SSD, and optionally an M.2 E-key 2230 Wi-Fi/BT module and an M.2 B-key 3042/3052 4G/5G module.
Which M.2 SSD form factor should I choose for the OS drive?
The M-key slot accepts 2242, 2260 or 2280 lengths; pick a PCIe M.2 SSD in any of those three sizes that fits your capacity and budget.
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