NVIDIA Jetson Nano B01 4GB Developer Kit
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Expected to be in stock within 5-7 business days. We'll ship immediately once available.
NVIDIA Jetson Nano 4GB Developer Kit NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. This 4?GB LPDDR4 memory developer board offers an easy-to-use platform that operates efficiently, running in as little as 5 watts. Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. Get Started with NVIDIA Jetson Nano Developer Kit Features of the NVIDIA Jetson Nano Developer Kit Model NVIDIA Jetson Nano GPU NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores Processor Quad-core ARM Cortex-A57 MPCore processor Memory 4 GB Dimensions 100mm x 80mm x 29mm Weight 75 grams
- 128-core NVIDIA Maxwell GPU
- Quad-core ARM Cortex-A57 processor
- 4GB LPDDR4 memory
- Supports TensorFlow, PyTorch, and ROS
- Runs on NVIDIA JetPack SDK
- 40-pin GPIO header for expansion
- Low power consumption (5–10W)
- Ideal for edge AI and robotics
- GPU-accelerated AI inference
- Support for multiple deep learning frameworks
- Raspberry Pi HAT-compatible GPIO
- Compact and energy-efficient design
- Real-time computer vision capabilities
- ROS and OpenCV compatible
| GPU | NVIDIA Maxwell architecture with 128 CUDA cores |
|---|---|
| Processor | Quad-core ARM Cortex-A57 MPCore |
| Memory | 4 GB LPDDR4 |
| Power Consumption | As low as 5 watts |
| Dimensions | 100mm x 80mm x 29mm |
| Weight | 75 grams |
| Operating System | Linux for Tegra (via JetPack) |
| Connectivity | HDMI, USB 3.0, Ethernet, GPIO, CSI camera interface |
What is the NVIDIA Jetson Nano B01 used for?
It is used for AI, machine learning, computer vision, and robotics applications like object detection and image classification.
Is the Jetson Nano compatible with Raspberry Pi?
No, but it supports similar GPIO and I/O interfaces and can run Linux-based applications with NVIDIA-optimized libraries.
Does it support TensorFlow and PyTorch?
Yes, via NVIDIA JetPack and compatible deep learning frameworks with GPU acceleration.
Can I run multiple neural networks simultaneously?
Yes, the 128 CUDA cores and 4GB RAM allow parallel execution of multiple neural networks efficiently.
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About NVIDIA Jetson Nano B01 4GB Developer Kit by NVIDIA
Buy NVIDIA Jetson Nano B01 4GB Developer Kit for AI, ML, and robotics. Compatible with TensorFlow, PyTorch, and ROS. Price in India.
Categorised under: Advanced Kits› Nvidia Jetson Nano› Nvidia Jetson Nano