579.20 USD
NVIDIA Jetson Nano Developer Kit
The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, obje
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NVIDIA Jetson Nano Developer Kit – The Compact AI Powerhouse
The Jetson Nano Developer Kit is a small, low‑power single‑board computer designed for developers who want to bring artificial intelligence (AI) and machine learning (ML) into their projects. It packs a surprisingly powerful GPU, a fast CPU, ample memory, and a rich set of interfaces—all in a board that fits comfortably on a breadboard or inside a custom enclosure.
Core Hardware Specifications
- CPU: Quad‑core ARM Cortex‑A57 running at 1.43 GHz (1430 MHz). This processor delivers solid performance for general computing tasks and lightweight inference workloads.
- GPU: NVIDIA Maxwell architecture with 128 CUDA cores, enabling efficient parallel processing of deep‑learning models.
- RAM: 4 GB LPDDR4. The high‑bandwidth memory supports fast data access for neural network tensors and image buffers.
- Storage: 16 GB eMMC flash** (internal) plus a microSD slot for expandable storage. This combination allows quick boot times and flexible file system management.
- Power: The board is designed to run on a modest 5‑V USB power supply**, drawing up to 2 A. It can also be powered via the dedicated DC jack for higher current demands.
Connectivity and I/O
The Jetson Nano offers a versatile set of input/output options that make it ideal for prototyping IoT, robotics, and embedded vision systems:
- CSI (Camera Serial Interface): Two high‑speed CSI ports support up to two cameras simultaneously. This is essential for stereo vision or multi‑camera setups.
- DVI / HDMI: A single HDMI output delivers 1080p video at 60 Hz, allowing direct connection to monitors for debugging and user interfaces.
- USB: Four USB 3.0 ports provide high‑bandwidth connectivity for peripherals such as keyboards, mice, external storage, or additional cameras.
- UART: Serial communication is available via the UART header, useful for debugging or connecting to other microcontrollers.
- I/O Expansion: A 40‑pin GPIO header exposes a wide range of digital and analog signals. The board supports I²C, SPI, PWM, and more, enabling integration with sensors, actuators, and custom hardware.
Software Ecosystem
The Jetson Nano runs NVIDIA Linux for Tegra (L4T), a Debian‑based distribution tailored for AI workloads. Developers can install the full CUDA Toolkit**, cuDNN, TensorRT, and OpenCV libraries** to accelerate deep learning inference on the board.
Popular frameworks such as TorchScript, TensorFlow Lite, and ONNX Runtime are fully supported, allowing developers to port models trained on powerful GPUs to the Nano with minimal effort. The platform also includes NVIDIA JetPack SDK**, which bundles drivers, libraries, and sample code** for rapid development.
Typical Use Cases
- Edge AI: Deploying object detection or semantic segmentation models in autonomous robots, drones, or smart cameras.
- IoT Gateways: Acting as a local inference engine for sensor data before sending results to the cloud.
- Educational Platforms: Teaching students about AI, robotics, and embedded systems with hands‑on projects.
- Rapid Prototyping: Quickly iterating on hardware designs that require real‑time vision or sensor fusion.
Physical Design and Expansion
The board measures just 100 mm × 80 mm**, making it easy to mount in tight spaces. It features a robust metal chassis for heat dissipation, and optional fan headers allow users to add cooling solutions if needed.
With the 40‑pin I/O header** and microSD slot**, developers can connect a wide array of peripherals: cameras, displays, motor drivers, or custom sensor modules. The board’s compact form factor also supports integration into 3D‑printed enclosures or commercial product housings.
Performance Highlights
The combination of the Maxwell GPU and LPDDR4 memory enables the Jetson Nano to run many popular neural network models at real‑time speeds:
- YOLOv5 (tiny) inference: Up to 20 frames per second on a single camera feed.
- MobileNetV2 classification: Approximately 30–40 FPS, depending on input resolution.
- TensorRT optimizations: Reduce latency by up to 50% compared to raw CUDA execution.
These figures illustrate the board’s suitability for applications that require quick decision making without relying on cloud connectivity.
Developer Resources and Community Support
NVIDIA maintains an extensive developer portal** with tutorials, sample projects, and forums. The community around Jetson Nano is active, offering pre‑built Docker containers, custom kernel modules, and open‑source libraries that extend the board’s capabilities.
Key resources include:
- NVIDIA Developer Blog – Regular updates on new SDK releases and best practices.
- GitHub Repositories** – Official JetPack samples, community projects, and firmware updates.
- Forums and Q&A** – A place to troubleshoot hardware issues or optimize inference pipelines.
Conclusion
The NVIDIA Jetson Nano Developer Kit delivers a powerful, low‑power AI platform in an ultra‑compact form factor. Its blend of a fast ARM CPU, Maxwell GPU, ample LPDDR4 memory, and rich I/O options makes it an ideal choice for developers building edge devices that need real‑time vision or sensor processing. Whether you’re prototyping a robot, creating an IoT gateway, or teaching AI concepts, the Jetson Nano provides the performance, flexibility, and community support needed to bring your ideas to life.
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| Tags | NVIDIA Jetson Nano Developer AI applications Jetson Nano NVIDIA JetPack NVIDIA Jetson AI software |
| Identifiers | |
| Brand | Nvidia |
| MPN | Nvidia 945-13450-0000-100 |
| ID | 18608980 |
| Dimensions / Weight | |
| Key Features | |
| Cpu clock | 1430 MHz |
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Csi A two‑letter code that identifies the language used for product information, documentation or interface elements. The value follows ISO 639‑1 standards and can be interpreted as a shorthand for languages such as English (en), Japanese (ja) or Spanish (es).
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Dsi Indicates whether the product supports the Display Serial Interface (DSI) protocol, a low‑pin, high‑speed interface used for connecting displays to embedded systems.
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