NVIDIA Jetson Orin Nano 8GB AI Edge Computing Module
The NVIDIA Jetson Orin Nano 8GB Module is a powerful system-on-module (SoM) that delivers up to 40 TOPS of AI performance in the smallest Jetson form factor. Featuring a 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores and a 6-core Arm Cortex-A78AE CPU, this module brings professional-grade edge AI capabilities to robotics, vision systems, IoT devices, and industrial applications. With power consumption configurable from 7W to 15W, it offers up to 80× the performance of the previous-generation Jetson Nano while maintaining a compact, energy-efficient design.
Why Choose the Jetson Orin Nano 8GB Module
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Exceptional AI Performance: Up to 40 TOPS for running multiple concurrent AI inference pipelines simultaneously
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High-Speed Memory: 8GB 128-bit LPDDR5 memory with 68GB/s bandwidth for data-intensive applications
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Flexible Power Options: Configurable between 7W and 15W to balance performance and power efficiency
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Ampere GPU Architecture: 1024 CUDA cores and 32 Tensor Cores for accelerated deep learning and computer vision
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Industrial-Grade Computing: 6-core ARM CPU perfect for edge robotics, vision AI, and autonomous machines
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Pin-Compatible Design: 260-pin SO-DIMM connector compatible with Orin NX modules for design flexibility
Unmatched Edge AI Performance
The Jetson Orin Nano 8GB delivers desktop-class AI performance in a module roughly the size of a laptop memory stick. The NVIDIA Ampere GPU provides hardware-accelerated encoding and decoding for multiple video streams, making it ideal for multi-camera vision systems, warehouse robots, and intelligent surveillance applications. With support for modern AI frameworks including TensorFlow, PyTorch, and NVIDIA Isaac ROS, developers can deploy complex neural networks for object detection, pose estimation, natural language processing, and more.
High-Speed Connectivity and Expandability
The module supports PCIe Gen3, USB 3.2, MIPI CSI-2 camera interfaces, Gigabit Ethernet, and a wide range of GPIOs. Multiple high-resolution cameras can be connected simultaneously via MIPI CSI connectors supporting up to 4-lane configurations. Storage options include microSD and NVMe SSD support for fast data logging and model storage. This makes the Orin Nano ideal for applications requiring multiple sensors and real-time processing.
Software Stack and Ecosystem
Jetson Orin Nano runs NVIDIA JetPack SDK, providing a complete Linux-based development environment with pre-configured libraries for AI, computer vision, and GPU computing. Developers gain access to CUDA, cuDNN, TensorRT, and cloud-native workflows identical to those used in NVIDIA data centres, enabling seamless transition from prototype to production. The module is fully compatible with NVIDIA Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI applications.
Ideal Applications
- Autonomous mobile robots and delivery drones
- Industrial inspection and quality control systems
- Smart cameras and vision AI appliances
- Retail analytics and people counting
- Edge AI inference for IoT gateways
- Agricultural robots and precision farming
What's in the Box
- NVIDIA Jetson Orin Nano 8GB Module (System-on-Module)
Note: This is a bare module and requires a carrier board, storage media (microSD or NVMe), power supply, and thermal solution for operation. For a complete ready-to-use system, consider the Jetson Orin Nano Developer Kit.
Full Specifications
Compute
| GPU |
1024-core NVIDIA Ampere architecture with 32 Tensor Cores |
| CPU |
6-core Arm Cortex-A78AE v8.2 64-bit |
| AI Performance |
40 TOPS (INT8) |
| Memory |
8GB 128-bit LPDDR5 |
| Memory Bandwidth |
68 GB/s |
Video
| Video Encode |
1080p30 (supported by 1-2 CPU cores) |
| Video Decode |
1× 4K60 (H.265), 2× 4K30 (H.265), 5× 1080p60 (H.265), 11× 1080p30 (H.265) |
Connectivity
| PCIe |
PCIe Gen3 |
| USB |
USB 3.2 |
| Camera Interfaces |
MIPI CSI-2 (multiple lanes supported) |
| Storage Support |
microSD card slot, NVMe SSD |
| Networking |
Gigabit Ethernet |
Power and Physical
| Power |
7W - 15W (configurable) |
| Form Factor |
260-pin SO-DIMM connector (smallest Jetson form factor) |
| Pin Compatibility |
Pin-compatible with Jetson Orin NX modules |
Software
| Operating System |
Linux (NVIDIA JetPack SDK) |
| AI Frameworks |
TensorFlow, PyTorch, NVIDIA Isaac ROS, DeepStream, Riva |
| SDK Support |
CUDA, cuDNN, TensorRT, NVIDIA Metropolis, Isaac |
Specifications are sourced from the official NVIDIA product page and may be updated.
