Jetson Nano B01 is a single-board computer developed by NVIDIA, designed for AI and robotics applications. It is an upgrade from the original Jetson Nano, featuring improved performance and additional features. Here are some key specifications and features of the Jetson Nano B01:
Key Specifications:
GPU: 128-core NVIDIA Maxwell architecture
CPU: Quad-core ARM Cortex-A57 MPCore processor
Memory: 4 GB 64-bit LPDDR4https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/product-development/
Storage: microSD card slot (for operating system and data storage)
Connectivity:
Gigabit Ethernet
Wi-Fi (optional module)
Bluetooth (optional module)
4x USB 3.0 ports
HDMI 2.0 or DisplayPort 1.2
MIPI CSI-2 camera connector
GPIO pins
Power: 5V DC, 4A (20W)
Features:
AI and Machine Learning: Supports NVIDIA JetPack SDK, which includes CUDA, cuDNN, and TensorRT for accelerating AI workloads.
Robotics and IoT: Suitable for developing robotics projects and IoT devices with AI capabilities.
Development Environment: Compatible with various development environments, including JetPack SDK, Ubuntu, and NVIDIA SDK Manager.
Expansion Capabilities: Supports various expansion modules and carrier boards through its GPIO pins and connectors.
Use Cases:
AI and Machine Learning Projects: Training and deploying deep learning models for image recognition, object detection, and more.
Robotics: Building and programming robots with advanced AI capabilities.
Smart Cameras: Developing smart camera systems with real-time video analytics.
IoT Devices: Creating IoT devices with embedded AI processing.
Getting Started:
Setup: Install the JetPack SDK and required libraries using the NVIDIA SDK Manager.
Development: Use Python, C++, or other supported languages to develop applications.
Deployment: Deploy your applications on the Jetson Nano B01 and connect peripherals as needed.
The Jetson Nano B01 is a powerful and versatile platform for developers and hobbyists looking to explore and implement AI and robotics projects. Its compact size, robust performance, and extensive support for AI libraries make it an excellent choice for a wide range of applications.
Key Specifications:
GPU: 128-core NVIDIA Maxwell architecture
CPU: Quad-core ARM Cortex-A57 MPCore processor
Memory: 4 GB 64-bit LPDDR4https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/product-development/
Storage: microSD card slot (for operating system and data storage)
Connectivity:
Gigabit Ethernet
Wi-Fi (optional module)
Bluetooth (optional module)
4x USB 3.0 ports
HDMI 2.0 or DisplayPort 1.2
MIPI CSI-2 camera connector
GPIO pins
Power: 5V DC, 4A (20W)
Features:
AI and Machine Learning: Supports NVIDIA JetPack SDK, which includes CUDA, cuDNN, and TensorRT for accelerating AI workloads.
Robotics and IoT: Suitable for developing robotics projects and IoT devices with AI capabilities.
Development Environment: Compatible with various development environments, including JetPack SDK, Ubuntu, and NVIDIA SDK Manager.
Expansion Capabilities: Supports various expansion modules and carrier boards through its GPIO pins and connectors.
Use Cases:
AI and Machine Learning Projects: Training and deploying deep learning models for image recognition, object detection, and more.
Robotics: Building and programming robots with advanced AI capabilities.
Smart Cameras: Developing smart camera systems with real-time video analytics.
IoT Devices: Creating IoT devices with embedded AI processing.
Getting Started:
Setup: Install the JetPack SDK and required libraries using the NVIDIA SDK Manager.
Development: Use Python, C++, or other supported languages to develop applications.
Deployment: Deploy your applications on the Jetson Nano B01 and connect peripherals as needed.
The Jetson Nano B01 is a powerful and versatile platform for developers and hobbyists looking to explore and implement AI and robotics projects. Its compact size, robust performance, and extensive support for AI libraries make it an excellent choice for a wide range of applications.