Subscribe to EDOM TECH Newsletter
NVIDIA
Jetson Orin™ Nano Super Developer Kit
Learn how NVIDIA Jetson can accelerate your edge-AI application development—register now for the free DLI course and jumpstart your journey!
-
Join Free DLI Training,
Get Your Official CertificateThrough NVIDIA’s Deep Learning Institute and its hands-on training programs, earn a certification while developing the practical skills and domain expertise in AI, data science, and accelerated computing—all at your own pace. -
Explore the Jetson Family,
Accelerate Your AI DevelopmentThe NVIDIA Jetson modules deliver accelerated compute for any automation scenario—whether in manufacturing, construction, healthcare, or logistics—offering unmatched performance, power efficiency, and ease of development.
-
About this Course
Learn how to create and train classification datasets and models using NVIDIA Jetson Nano -
Learning Objectives
To create your own deep learning classification and regression models with the Jetson Nano -
Topics Covered
Tools and frameworks used in this course include PyTorch and NVIDIA Jetson Nano
Getting Started with AI on Jetson Nano
Join this free, self-paced 8-hour training, complete the assessment, and earn your NVIDIA certificate
*Hardware is not included.
*Hardware is not included.
More from NVIDIA Developer
Visit the developer community to explore tutorials on text-generation, text-and-vision models, image synthesis, and fine-tuning techniques
Dive deeper with expert teams to discover how Jetson Orin can unlock the full potential of edge computing
Getting Started with Jetson Orin Nano Dev Kit
Jetson Orin Nano Developer Kit packs an Orin Nano 8 GB module, reference carrier board, active heatsink + fan, and 19 V power supply into a compact form. It delivers up to 40 TOPS of AI performance and a rich set of I/O. Simply flash the JetPack image to a ≥32 GB microSD, attach display/keyboard/mouse, and boot into an accelerated edge-AI platform that supports robotics, transformer-based vision and NLP models, and all modern AI frameworks.
Let TAO Toolkit Streamline Your AI Development
Eliminate the need for mountains of data and an army of data scientists. Using transfer learning, you fine-tune NVIDIA’s pre-trained models, prune and quantize them, and export TensorRT engines for deployment with DeepStream, Riva, or Triton. The end-to-end process—from data prep and training to optimization and inference—happens interactively in notebooks, making it easy to build and deploy custom vision, speech, and NLP models.
Game-Changing Performance for GenAI Models
The NVIDIA Jetson Orin Nano Super delivers significant performance increases over its predecessor on various LLMs, VLMs, and Vision Transformers.
All existing Jetson Orin Nano Developer kits in the marketplace can get this ‘Super’ increase in performance through a software update.
Technical Specifications
| MODULE | Jetson Orin Nano 8GB |
| GPU | NVIDIA Ampere architecture with 1024 NVIDIA® CUDA® cores and 32 Tensor cores |
| CPU | 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 |
| Memory | 8GB 128-bit LPDDR5 102GB/s |
| Video Encode | 1080p30 supported by 1-2 CPU cores |
| Video Decode | 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) |
| Storage | Supports SD card slot and external NVMe |
| Power |
7W to 25W |
Reference Carrier Board
| Camera | 2x MIPI CSI-2 22-pin camera connectors |
|
PCIe |
M.2 Key M slot with x4 PCIe Gen3 M.2 Key M slot with x2 PCIe Gen3 M.2 Key E slot |
| USB | USB Type-A connector: 4x USB 3.2 Gen2 USB Type-C connector for UFP |
| Networking | 1x GbE Connector |
| Display | 1x DP 1.2 (+MST) connector |
| Other I/O | 40-pin expansion header (UART, SPI, I2S, I2C, GPIO) 12-pin button header 4-pin fan header DC power jack |
| Mechanical | 103mm x 90.5mm x 34.77mm (Height includes feet, carrier board, module, and thermal solution) |
