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
- 4GB LPDDR4 memory for high-speed processing
- NVIDIA Maxwell GPU with 128 CUDA cores
- Quad-core ARM Cortex-A57 processor
- Supports NVIDIA JetPack SDK with CUDA, cuDNN, and TensorRT
- Low power consumption (as low as 5W)
- Rich I/O: HDMI, USB 3.0, Ethernet, GPIO
- AI and deep learning at the edge
- Parallel neural network execution
- GPU-accelerated computer vision
- Easy development with JetPack SDK
- Compact and energy-efficient design
| 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 online in India. Compatible with AI, robotics, and computer vision projects. Fast delivery.
Categorised under: Advanced Kits› Nvidia Jetson Nano› Nvidia Jetson Nano