Specifications
AI Module
NVIDIA Jetson Orin Nano (up to 67 TOPS Super Mode)
CPU
6-core Arm Cortex-A78AE up to 1.7 GHz
GPU
NVIDIA Ampere — up to 1,024 CUDA cores + 32 Tensor cores
Memory
8 GB 128-bit LPDDR5 @ 2133 MHz
Storage
M.2 2280 M-Key NVMe SSD (256 GB – 2 TB)
Form Factor
DIN-rail box PC — 130 x 68 x 150 mm (2.5 kg)
Cooling
Fanless passive (aluminium fin heatsink)
LAN
4x Gigabit LAN; one with PSE PoE up to 30 W (IEEE 802.3at)
USB
3x USB 3.2 Gen2 Type-A, 1x USB 2.0, 1x USB 3.2 Gen2x1 Type-C (OTG)
Display
HDMI 2.0b (optional)
Serial
1x isolated RS-232/422/485 (DB9) + 2x via terminal block
CAN Bus
1x CAN bus
Digital I/O
8 DI / 8 DO isolated (20-pin)
Power
9–36 V DC wide input (isolated)
Module Power
15 / 25 W Jetson module power
OS / SDK
Ubuntu 22.04 LTS, Linux 5.15, JetPack 6.2
Frameworks
Isaac (robotics), DeepStream (vision), Riva (speech)
Applications
Machine vision inspection, predictive maintenance, traffic analytics, process automation
Overview
The Winmate NTDRW100 is an AI DIN-rail box PC built on the NVIDIA Jetson Orin Nano. Despite its compact 130 x 68 x 150 mm chassis, it delivers up to 67 TOPS of inference in Super Mode — far above the 40+ TOPS threshold Microsoft uses for Copilot+ PCs — while remaining completely fanless.
The Jetson Orin Nano SoM brings a 6-core Arm Cortex-A78AE CPU and an Ampere GPU with up to 1,024 CUDA cores and 32 Tensor cores, backed by 8 GB of LPDDR5. It snaps directly onto a standard control-cabinet DIN rail and provides four Gigabit LAN ports (one supplying up to 30 W PoE), isolated serial, CAN bus and 8 DI / 8 DO for direct field wiring.
The NTDRW100 runs Ubuntu 22.04 LTS with JetPack 6.2, and its dual-role Type-C OTG, wide 9–36 V DC input and fanless thermal design make it a drop-in edge AI node for factory floors and smart-city infrastructure.
Key Benefits
High edge AI throughput: Jetson Orin Nano up to 67 TOPS in Super Mode. DIN-rail ready: standard control-cabinet mounting. Industrial I/O: 4x GbE (30 W PoE), CAN bus, isolated DI/DO. Fanless and rugged: no moving parts, wide 9–36 V DC input.
Applications
Machine-vision inspection, predictive maintenance, traffic and video analytics, intelligent process automation, smart manufacturing and industrial edge deployments.
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