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NVIDIA® Jetson Nano 4GB Development Kit

£99.00 incl. VAT

Out of stock

NVIDIA® Jetson Nano 4GB Development Kit

5 5 out of 5 (1 customer review)

NVIDIA® Jetson Nano 4GB Development Kit

5 5 out of 5 (1 customer review)

Have you been thinking about AI Technology and where do I begin? The NVIDIA® Jetson Nano™ Developer Kit is the place to start. The NVIDIA® Jetson Nano™ Developer Kit delivers all the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. More

£99.00 incl. VAT
£82.50 excl. VAT

Out of stock


Product Details

Description

Have you been thinking about AI Technology and where do I begin?

The NVIDIA® Jetson Nano™ Developer Kit is the place to start. The NVIDIA® Jetson Nano™ Developer Kit delivers all the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

Details

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.

Checkout the NVIDIA Nano Community Page to see all the projects being created:

https://developer.nvidia.com/embedded/community/jetson-projects

JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

Jetson Nano Module
> 128-core NVIDIA Maxwell™ GPU
> Quad-core ARM® A57 CPU
> 4 GB 64-bit LPDDR4
> 10/100/1000BASE-T Ethernet

 

Power Options
> Micro-USB 5V 2A
> DC power adapter 5V 4A

 

I/O
> USB 3.0 Type A
> USB 2.0 Micro-B
> HDMI/DisplayPort
> M.2 Key E
> Gigabit Ethernet
> GPIOs, I2 C, I2 S, SPI, UART
>2 x MIPI-CSI camera connectors
> Fan connector
> PoE connector

 

Kit Contents
> NVIDIA Jetson Nano module and carrier board
> Quick Start Guide and Support Guide

 

DEVELOPER KIT
GPU 128-core Maxwell
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage microSD (not included)
Video Encoder 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decoder 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265)
Camera 2 x MIPI CSI-2 DPHY lanes
Connectivity Gigabit Ethernet, M.2 Key E
Display HDMI 2.0 and eDP 1.4
USB 4x USB 3.0, USB 2.0 Micro-B
Others GPIO, I2C, I2S, SPI, UART
Mechanical 100 mm x 80 mm x 29 mm

Specifications

SKU

1999831

mpn

945-13450-0000-100

brand

NVIDIA®

Reviews

5 out of 5 ( 1 customer review )
                   

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  • How versatile can an SBC get? The strength of the Raspberry Pi and now the Pi4 makes it the market leader, however, they have limitations. When the puff has dropped off your PI you're then stuck for a solution. Stepping up to continue with the advancement is the Jetson Nano. Powerful and able to effortlessly run Linux applications and complex scripts it still manages to continue effortlessly. I personally use mine as a Spaghetti Detective server, but that's not a limitation, its an option. This little board can also effortlessly gobble up quite complex AI tasks and more recently in my case ANPR for car parking and access control. It's well priced and well organised with powerful coding platform Jetpack. It's obviously silent unless you run a fan and even then its PWM header means it will only run flat out on the most demanding applications. There are however some very concerning downsides..... No WiFi, No Bluetooth as standard. These are fundamental to any AI development, however, that's easily remedied with an Intel AC8265 board that fits under the main processor and heatsink. You can also add a USB Bluetooth dongle and WiFi dongle at the cost of two USB ports. The AC8265 has Dual Band WiFi and Bluetooth as standard and longer range antennas. The GUI is limited due to a very called down version of Linux, however, this is probably why the unit is best described as headerless. it does boast HDMI and DP sockets, 4 USB 3.0 sockets, LAN socket and 2.1mm power supply for 10w operation and 5w operation can rely on the micro USB but with that said a decent 4A PSU is recommended for a stress free computing experience. Simply SSH into the Jetson and then send commands until your heart's content once you're up and running and away you go. I give the Jetson a 5 out of 5 as its a huge leap forward compared to the dwindling efforts of the PI which is sadly getting more costly and yet is stagnant. The Spaghetti Detective cant run on a PI which isn't surprising so in an ironic twist of fate, the OctoPi Print controller runs on a Raspberry Pi 3 b+ and that's controlled from an Nvidia Jetson Nano server which handles the AI for managing the dreaded spaghetti when you leave your print unattended. The 'PI' unless improves its GPU is dead in the water. The Jetson is tomorrows SBC as they are just about price comparable. Lastly, the Jetson Nano comes pretty bare so you need to buy a PSU.

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Technical Reference