Contents
- NVIDIA Jetson 4 GB Nano Development Kit
- Printed Quick Start Guide and Support Guide
Jetson Nano 4 GB Features and Benefits
- Experimental capabilities
- Efficient power consumption – up to 5 watts in operation.
- AI computer : run AI models and frames on a small, powerful computer.
- Deep learning : create compact AI systems to enable image recognition, object detection, speech processing, video enhancements.
- Easy to use: just insert a microSD card with the system image, start the SDK and start using the software.
- Software SDK jetpack – Nvidia JetPack is easy to install and contains many useful programs for the user and can be used in the entire family of Jetson products.
- Libraries and APIs – TensorRT, cuDNN, and CUDA are just a few of the many APIs that can be implemented to help the Jetson Nano run at a higher standard.
- Development tools – these tools can be used to create complex systems for AI and robotics.
- Community : thousands of Jetson Nano developers actively contribute videos on projects and procedures on the Nvidia hub.
Features
- GPU: 128-core NVIDIA Maxwell
- Processor: ARM Cortex-A57 MPCore quad-core
- Memory: 4 GB LPDDR4 64-bit
- Storage: microSD (not included)
- Video encoder : 4K @ 30 | 2x 1080p @ 60 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
- Video Decoder: 4K @ 60 | 2x 4K @ 30 | 4x 1080p @ 60 | 8x1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
- Camera: x2 x 15-pin 2-way MIPI CSI-2 connectors
- Connectivity: Gigabit Ethernet, M.2 E-Stick
- Display: HDMI 2.0 and DP 1.2
- USB: x4 USB 3.0, USB 2.0 Micro-B
- x40 GPIO, I2C, I2S, SPI, UART, 4-pin fan socket, 4-pin POE socket
- Power: Micro-USB 5V 2A or DC 5V 4A adapter
- Power, forced recovery and reset buttons
- Mechanical: 100mm x 79mm x 31mm (includes support board, module and thermal solution)
Video