ThinkRobotics Edge AI Device is a powerful and compact intelligent edge computing system built around the NVIDIA Jetson Orin Nano 4GB or 8GB production module. Powered by NVIDIA Ampere™ GPU architecture and a 64-bit Arm CPU, it delivers efficient AI inference and accelerated computing for edge applications, including computer vision, robotics, video analytics and industrial automation.
The complete system includes one NVIDIA Jetson Orin Nano 4GB or 8GB module, the Waveshare Jetson Orin IO Base B carrier board , a heatsink and cooling fan , an RTL8822CE wireless module, a power adapter, and a 3D-printed carbon-fiber or aluminium case, depending on the selected configuration.
The device is supplied with a 240GB NVMe SSD and is configured with latest JetPack, subject to the selected module and software compatibility. It provides a compact platform for developing and deploying AI solutions in smart cities, security, industrial automation, smart factories, medical imaging and robotics.
| Feature | Description |
|---|---|
| AI Performance | On-device AI processing with up to 67 TOPS on the 8GB module or up to 34 TOPS on the 4GB module, supporting low-latency edge inference. |
| Compact Form Factor | Hand-sized edge AI device measuring approximately 130 × 120 × 58.5 mm, featuring the Jetson Orin Nano module, cooling fan and heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting. |
| I/O Interfaces | 3 × USB 3.2 Gen 2, 1 × USB 2.0, DisplayPort output, 2 × CSI camera interfaces, 1 × Gigabit Ethernet, 1 × 2.5 Gigabit Ethernet, M.2 Key E, M.2 Key M, CAN and GPIO. |
| Software and Storage | 240GB NVMe SSD with JetPack software pre-installed as specified for the supplied configuration, providing access to the Jetson Linux software stack and compatible AI development frameworks. |
| Certifications | FCC, CE and RoHS certification status should be verified against the certification documentation for the complete supplied device. |
With expansion interfaces, industrial peripherals and integrated thermal management, the ThinkRobotics Edge AI Device is designed to accelerate the development and deployment of AI applications at the edge.
Developers can deploy deep neural network models and machine-learning frameworks for real-time image classification, object detection, pose estimation, semantic segmentation, video analytics and natural language processing (NLP).
Explore the Jetson Orin Nano getting-started guides and NVIDIA TensorRT for information on deploying and optimizing AI inference workloads. Actual model performance depends on the model, input resolution, software and operating configuration.
The NVIDIA Jetson software stack begins with the JetPack SDK, which provides a development environment with CUDA-X accelerated libraries, drivers, tools and other NVIDIA technologies. JetPack includes the Jetson Linux Driver Package, kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem and development toolchains. Features and package availability depend on the selected JetPack release.
| Category | Platform / Tool | Description |
|---|---|---|
| Computer Vision & Embedded ML | NVIDIA DeepStream SDK | Streaming analytics toolkit for AI-based video and multi-sensor processing. |
| NVIDIA TAO Toolkit | Toolkit for fine-tuning and optimizing AI models for deployment. | |
| alwaysAI | Platform for building and deploying computer-vision applications using pre-trained models. | |
| Edge Impulse | Embedded machine-learning workflow for classification, audio and object-detection applications. | |
| Roboflow | Tools for preparing image datasets and deploying custom computer-vision models. | |
| YOLO Models | Object-detection models that can be optimized for supported Jetson software environments. | |
| Deci | Tools for benchmarking and optimizing AI model runtime performance. | |
| Speech AI | NVIDIA Riva | SDK for developing real-time speech AI applications. Verify compatibility with the installed JetPack release. |
| Remote Fleet Management | Allxon | Platform for remote device management and over-the-air updates. |
| Robot & ROS Development | NVIDIA Isaac ROS | ROS packages and accelerated computing tools for robotics applications on supported NVIDIA platforms. |
| Cogniteam Nimbus | Platform for managing and deploying autonomous robotics applications. |
The Waveshare Jetson Orin IO Base B carrier board provides a range of interfaces for development and deployment, including DisplayPort, dual Ethernet, USB, M.2 expansion, CSI camera connections, CAN, GPIO, I²C, I²S and fan connectivity.
| Hardware Feature | Specification |
|---|---|
| Module Socket | 260-pin SO-DIMM socket for compatible Jetson Orin Nano and Orin NX modules. |
| Control Header | 12-pin header supporting power, reset, debug serial, force recovery, auto power-up enable and power indicator functions. |
| Power Input | DC jack supporting 9V–19V input with a compatible 5.5 × 2.5 mm plug. |
| Camera | 2 × 22-pin CSI camera interfaces. |
| Display | DisplayPort output supporting up to 4K, subject to display and system configuration. |
| USB Type-A | 4 × USB Type-A ports: 3 × USB 3.2 Gen 2 and 1 × USB 2.0. |
| Ethernet | 1 × RJ45 Gigabit Ethernet port and 1 × RJ45 2.5 Gigabit Ethernet port. |
| USB Type-C | USB Type-C port for system flashing and data communication. |
| Internal Headers | 40-pin header and 4-pin PWM fan header. |
| Internal USB | 2 × USB 2.0 connectors. |
| FFC Connectors | 0.5 mm pitch, 6-pin FFC connectors. |
| Item | Quantity |
|---|---|
| NVIDIA Jetson Orin Nano 4GB / 8GB Module | 1 |
| Waveshare Carrier Board (Base B) – Dual Ethernet | 1 |
| 240GB NVMe SSD | 1 |
| Official Cooling Fan for Jetson Orin | 1 |
| 3D-Printed Case / Aluminium Case | 1 |
| Wi-Fi Module with Antenna | 1 |
| 12V / 5A Power Adapter | 1 |
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ThinkRobotics Edge AI Device is a powerful and compact intelligent edge computing system built around the NVIDIA Jetson Orin Nano 4GB or 8GB production module. Powered by NVIDIA Ampere™ GPU architecture and a 64-bit Arm CPU, it delivers efficient AI inference and accelerated computing for edge applications, including computer vision, robotics, video analytics and industrial automation.
The complete system includes one NVIDIA Jetson Orin Nano 4GB or 8GB module, the Waveshare Jetson Orin IO Base B carrier board , a heatsink and cooling fan , an RTL8822CE wireless module, a power adapter, and a 3D-printed carbon-fiber or aluminium case, depending on the selected configuration.
The device is supplied with a 240GB NVMe SSD and is configured with latest JetPack, subject to the selected module and software compatibility. It provides a compact platform for developing and deploying AI solutions in smart cities, security, industrial automation, smart factories, medical imaging and robotics.
| Feature | Description |
|---|---|
| AI Performance | On-device AI processing with up to 67 TOPS on the 8GB module or up to 34 TOPS on the 4GB module, supporting low-latency edge inference. |
| Compact Form Factor | Hand-sized edge AI device measuring approximately 130 × 120 × 58.5 mm, featuring the Jetson Orin Nano module, cooling fan and heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting. |
| I/O Interfaces | 3 × USB 3.2 Gen 2, 1 × USB 2.0, DisplayPort output, 2 × CSI camera interfaces, 1 × Gigabit Ethernet, 1 × 2.5 Gigabit Ethernet, M.2 Key E, M.2 Key M, CAN and GPIO. |
| Software and Storage | 240GB NVMe SSD with JetPack software pre-installed as specified for the supplied configuration, providing access to the Jetson Linux software stack and compatible AI development frameworks. |
| Certifications | FCC, CE and RoHS certification status should be verified against the certification documentation for the complete supplied device. |
With expansion interfaces, industrial peripherals and integrated thermal management, the ThinkRobotics Edge AI Device is designed to accelerate the development and deployment of AI applications at the edge.
Developers can deploy deep neural network models and machine-learning frameworks for real-time image classification, object detection, pose estimation, semantic segmentation, video analytics and natural language processing (NLP).
Explore the Jetson Orin Nano getting-started guides and NVIDIA TensorRT for information on deploying and optimizing AI inference workloads. Actual model performance depends on the model, input resolution, software and operating configuration.
The NVIDIA Jetson software stack begins with the JetPack SDK, which provides a development environment with CUDA-X accelerated libraries, drivers, tools and other NVIDIA technologies. JetPack includes the Jetson Linux Driver Package, kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem and development toolchains. Features and package availability depend on the selected JetPack release.
| Category | Platform / Tool | Description |
|---|---|---|
| Computer Vision & Embedded ML | NVIDIA DeepStream SDK | Streaming analytics toolkit for AI-based video and multi-sensor processing. |
| NVIDIA TAO Toolkit | Toolkit for fine-tuning and optimizing AI models for deployment. | |
| alwaysAI | Platform for building and deploying computer-vision applications using pre-trained models. | |
| Edge Impulse | Embedded machine-learning workflow for classification, audio and object-detection applications. | |
| Roboflow | Tools for preparing image datasets and deploying custom computer-vision models. | |
| YOLO Models | Object-detection models that can be optimized for supported Jetson software environments. | |
| Deci | Tools for benchmarking and optimizing AI model runtime performance. | |
| Speech AI | NVIDIA Riva | SDK for developing real-time speech AI applications. Verify compatibility with the installed JetPack release. |
| Remote Fleet Management | Allxon | Platform for remote device management and over-the-air updates. |
| Robot & ROS Development | NVIDIA Isaac ROS | ROS packages and accelerated computing tools for robotics applications on supported NVIDIA platforms. |
| Cogniteam Nimbus | Platform for managing and deploying autonomous robotics applications. |
The Waveshare Jetson Orin IO Base B carrier board provides a range of interfaces for development and deployment, including DisplayPort, dual Ethernet, USB, M.2 expansion, CSI camera connections, CAN, GPIO, I²C, I²S and fan connectivity.
| Hardware Feature | Specification |
|---|---|
| Module Socket | 260-pin SO-DIMM socket for compatible Jetson Orin Nano and Orin NX modules. |
| Control Header | 12-pin header supporting power, reset, debug serial, force recovery, auto power-up enable and power indicator functions. |
| Power Input | DC jack supporting 9V–19V input with a compatible 5.5 × 2.5 mm plug. |
| Camera | 2 × 22-pin CSI camera interfaces. |
| Display | DisplayPort output supporting up to 4K, subject to display and system configuration. |
| USB Type-A | 4 × USB Type-A ports: 3 × USB 3.2 Gen 2 and 1 × USB 2.0. |
| Ethernet | 1 × RJ45 Gigabit Ethernet port and 1 × RJ45 2.5 Gigabit Ethernet port. |
| USB Type-C | USB Type-C port for system flashing and data communication. |
| Internal Headers | 40-pin header and 4-pin PWM fan header. |
| Internal USB | 2 × USB 2.0 connectors. |
| FFC Connectors | 0.5 mm pitch, 6-pin FFC connectors. |
| Item | Quantity |
|---|---|
| NVIDIA Jetson Orin Nano 4GB / 8GB Module | 1 |
| Waveshare Carrier Board (Base B) – Dual Ethernet | 1 |
| 240GB NVMe SSD | 1 |
| Official Cooling Fan for Jetson Orin | 1 |
| 3D-Printed Case / Aluminium Case | 1 |
| Wi-Fi Module with Antenna | 1 |
| 12V / 5A Power Adapter | 1 |
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