NVIDIA Jetson Nano 4GB Development Kit

NVIDIA Jetson Nano 4GB Development Kit

R5499,00

The NVIDIA Jetson Nano Developer Kit is a compact yet powerful computer that allows you to run multiple neural networks in parallel for advanced applications such as speech processing, image classification, segmentation, and object detection. It is designed to provide an easy-to-use platform that operates on as little as 5 watts. With a quad-core 64-bit ARM CPU, an integrated NVIDIA GPU with 128 cores, and 4GB LPDDR4 memory, Jetson Nano delivers 472 GFLOPS of power.

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Description

The NVIDIA Jetson Nano Developer Kit is a compact yet powerful computer that allows you to run multiple neural networks in parallel for advanced applications such as speech processing, image classification, segmentation, and object detection. It is designed to provide an easy-to-use platform that operates on as little as 5 watts.

With a quad-core 64-bit ARM CPU, an integrated NVIDIA GPU with 128 cores, and 4GB LPDDR4 memory, Jetson Nano delivers 472 GFLOPS of power for efficient and speedy execution of modern AI algorithms. The device processes multiple high-resolution sensors simultaneously and can run neural networks in parallel.

Jetson Nano is supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, multimedia processing, and GPU computing. The SDK also supports popular open-source machine learning frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, allowing developers to easily integrate their favourite AI models and frameworks into their products.

Jetson Nano supports a 2-lane CSI Camera, which is an upgrade from the previous 1-lane. This upgrade enables users to experiment with binocular vision easily.

The package includes a carrier board, Jetson Nano module, an official heatsink, and a 32GB USB drive. With its advanced features and software support, the NVIDIA Jetson Nano Developer Kit is an ideal choice for developers, hobbyists, and DIY enthusiasts looking to build powerful AI systems.