SmartFly Tech NVIDIA Jetson Nano Developer Kit Small AI Computer Delivers 472 GFLOPS for Running Modern AI Algorithms


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Sale price£ 149.99 GBP

This price was last updated on Sunday, February 21, 2021 at 7:19 pm +0000. Details

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Description

Brand: SmartFly Tech

Features:

  • Note: please properly keep the Jetson products' original packing box and accessories (if any) for warranty service, and the serial numbers on the product and packing box MUST be matched, otherwise, the original manufacturer will reject returning / repairing.
  • 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. All in an easy-to-use platform that runs in as little as 5 watts.
  • With a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
  • Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.
  • The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.

Binding: Electronics

Publisher: SmartFly Tech

Details:

-Overview-

Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory.

It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, 

GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, 

PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.

-Specifications-

GPU: 128-core Maxwell GPU

CPU: quad-core ARM Cortex-A57 CPU

Memory: 4GB 64-bit LPDDR4

Storage: Micro SD card slot (requires an external minimum 16G TF card)

Video:

Encode: 4K @ 30 (H.264/H.265)

Decode: 4K @ 60 (H.264/H.265)

Interfaces:

Ethernet: 10/100/1000BASE-T self-negotiation

Camera: 12-ch (3x4 OR 4x2) MIPI CSI-2 DPHY 1.1 (1.5Gbps)

Display: HDMI 2.0, DP (DisplayPort)

USB: 4x USB 3.0, USB 2.0 (Micro USB)

Others: GPIO, I2C, I2S, SPI, UART

Power:

Micro USB (5V 2A)

DC jack (5V 4A)

Dimensions:

Core module: 69.6 mm × 45 mm

Whole kit: 100mm × 80mm × 29mm

Wiki : https://elinux.org/Jetson_Nano

User Guide: https://elinux.org/Jetson_Nano

Technical Support: support@smartfire.cn  Skype: smartfire_cn

PACKAGE CONTENT

Jetson Nano Developer Kit x1

Package Dimensions: 6.4 x 4.3 x 1.6 inches

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