Powered by an integrated system-on-chip (SoC), the Jetson Nano can run multiple neural networks in parallel. It supports widely used AI frameworks including TensorFlow, PyTorch, Caffe/Caffe2, Keras, and MXNet. These frameworks enable advanced capabilities such as object detection, image classification, segmentation, and speech processing.
Features
- Powerful AI computing platform for edge applications
- Supports multiple neural networks running in parallel
- Real-time image and video processing capabilities
- Compatible with popular AI frameworks and development tools
- Supports camera modules for computer vision applications
- Multiple display outputs for visualization and development
- Wide range of peripheral interfaces for sensors and hardware integration
- Low power consumption suitable for embedded and robotics projects
- Ideal platform for robotics, automation, and smart devices
Specifications
- GPU: 128-core NVIDIA Maxwell GPU
- CPU: Quad-core ARM Cortex-A57
- Memory: 4 GB 64-bit LPDDR4
- Storage: 16 GB eMMC 5.1 flash
- Video Encoder: 4K at 30 fps (H.264 / H.265)
- Video Decoder: 4K at 60 fps (H.264 / H.265)
- Camera Interface: 12-lane MIPI CSI-2 (1.5 Gbps)
- Networking: Gigabit Ethernet
- Display Outputs: HDMI 2.0, DisplayPort 1.2, eDP 1.4, DSI
- Peripheral Interfaces: PCIe, USB 3.0, USB 2.0, SPI, I2C, I2S, GPIO
- Dimensions: 100 x 80 x 29 mm
Included on Board:
Usage Notes
The Jetson Nano Developer Kit is well-suited for learning and experimenting with artificial intelligence and machine learning models. It supports hardware-accelerated deep learning and can run multiple neural networks simultaneously, making it ideal for projects involving computer vision, robotics, smart surveillance, autonomous systems, and intelligent IoT devices.
Powered by an integrated system-on-chip (SoC), the Jetson Nano can run multiple neural networks in parallel. It supports widely used AI frameworks including TensorFlow, PyTorch, Caffe/Caffe2, Keras, and MXNet. These frameworks enable advanced capabilities such as object detection, image classification, segmentation, and speech processing.
Features
- Powerful AI computing platform for edge applications
- Supports multiple neural networks running in parallel
- Real-time image and video processing capabilities
- Compatible with popular AI frameworks and development tools
- Supports camera modules for computer vision applications
- Multiple display outputs for visualization and development
- Wide range of peripheral interfaces for sensors and hardware integration
- Low power consumption suitable for embedded and robotics projects
- Ideal platform for robotics, automation, and smart devices
Specifications
- GPU: 128-core NVIDIA Maxwell GPU
- CPU: Quad-core ARM Cortex-A57
- Memory: 4 GB 64-bit LPDDR4
- Storage: 16 GB eMMC 5.1 flash
- Video Encoder: 4K at 30 fps (H.264 / H.265)
- Video Decoder: 4K at 60 fps (H.264 / H.265)
- Camera Interface: 12-lane MIPI CSI-2 (1.5 Gbps)
- Networking: Gigabit Ethernet
- Display Outputs: HDMI 2.0, DisplayPort 1.2, eDP 1.4, DSI
- Peripheral Interfaces: PCIe, USB 3.0, USB 2.0, SPI, I2C, I2S, GPIO
- Dimensions: 100 x 80 x 29 mm
Included on Board:
Usage Notes
The Jetson Nano Developer Kit is well-suited for learning and experimenting with artificial intelligence and machine learning models. It supports hardware-accelerated deep learning and can run multiple neural networks simultaneously, making it ideal for projects involving computer vision, robotics, smart surveillance, autonomous systems, and intelligent IoT devices.