NVIDIA Jetson Nano B01
NVIDIA Jetson Nano B01
The Jetson Nano B01 is a powerful yet affordable AI development board from NVIDIA, designed for edge AI, machine learning, and robotics applications.
With upgraded hardware features and better connectivity compared to the earlier A02 model, the B01 is ideal for developers, hobbyists, and researchers building intelligent systems.
Key Specifications
- Processor : Quad-core ARM Cortex-A57 @ 1.43GHz
- GPU : 128-core NVIDIA Maxwell architecture
- AI Performance : Up to 472 GFLOPS
- Display : HDMI 2.0 + DisplayPort 1.4 (4K support)
- Memory : 4GB LPDDR4 (25.6 GB/s bandwidth)
- Storage : microSD card slot (supports UHS-1 cards)
- Ports :
- 4 x USB 3.0
- 1 x Micro-USB
- Operating System : Ubuntu-based JetPack SDK
- Networking : Gigabit Ethernet
- Power Supply :
- 5V via Micro-USB
- 5V 4A DC barrel jack
- Camera Support : Dual MIPI CSI-2 interfaces
- Expansion :
- 40-pin GPIO header
- M.2 Key E slot (for Wi-Fi/Bluetooth modules)
AI and Machine Learning
The Jetson Nano B01 runs NVIDIA JetPack SDK, which includes :
- CUDA, cuDNN, TensorRT for GPU-accelerated deep learning.
- OpenCV, GStreamer for computer vision and multimedia.
- Full support for TensorFlow, PyTorch, Keras, and more
Whether you are building an IoT AI prototype or a smart home project, Jetson Nano B01 delivers the performance and flexibility needed for real-time edge AI.
Expansion and Connectivity
- Easily interface with sensors, motors, and cameras using 40-pin GPIO header.
- Add Wi-Fi and Bluetooth via M.2 expansion slot.
- Connect high-resolution display via HDMI or DisplayPort.
- Use USB 3.0 ports for webcams, storage, or peripherals.
Use Cases
- AI-powered robotics and autonomous vehicles.
- Edge AI for smart security systems.
- Embedded machine learning for industrial IoT.
- Deep learning projects on a budget.
- Educational tools for students and developers.
Conclusion
The Jetson Nano B01 is a compact, high-performance AI board that opens the door to advanced edge computing at an affordable price.
With dual camera support, enhanced connectivity, and compatibility with NVIDIA`s powerful AI software stack, it is a top choice for anyone working on smart devices or embedded AI.