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NVIDIA Jetson Nano Developer Kit EXPIRED
$79
$99.00
+ Free Shipping
Newegg has NVIDIA Jetson Nano Developer Kit on sale for $79 when you apply $20 off promo code 93XPD65 in cart. Shipping is free. Thanks StealTheDeals
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Editor's Notes & Price Research
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- Sale is valid for today only, 12/8/19 or while supplies last.
- Experience powerful and efficient AI, computer vision, and high-performance computing.
Original Post
Written by
Edited December 8, 2019
at 10:57 AM
in
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Featured Comments
The NVIDIA Jetson Nano and Raspberry Pi 4 are both several times faster than any previous SBC. Unless you have some limiting constraint like cost or weight, there isn't any reason to consider anything other than one these two.
The Raspberry Pi has a slightly faster general purpose ARM processor. Most importantly the software ecosystem is far more mature. If you want to use this as a system to tinker, learn and do various paint by numbers projects, the Raspberry is a better option for this reason alone.
The NVIDIA is the clear choice for for robotics and AI. It's big advantage over the RPI is for projects that use TensorFlow or other ML framework. If you have the ability to do this kind of project with an SBC, you likely already knew this.
Link was through mobile but the article title is "Build a Hardware-based Face Recognition System for $150 with the Nvidia Jetson Nano and Python" by Adam Geitgey
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage microSD (not included)
Video Encode 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
Camera 1x 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 69 mm x 45 mm, 260-pin edge connector
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Getting Started
https://developer.nvidi
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage microSD (not included)
Video Encode 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
Camera 1x 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 69 mm x 45 mm, 260-pin edge connector
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From Amazon review:
The software available for this unit is free for download IF you register and IF you can stand nVidia's forum format. Worst of all is the method nVidia chose to be able to boot this beast from SD card. Also, it ONLY supports booting from SD card. The above 2 unpleasant parts almost cost it a star, but it is so great overall that it still gets 5 stars.
Very capable board for developing your AI software. Not nearly as fast as dedicated AI hadware or even a good desktop at learning. It's still more than adequate for a portable device you can experiment with in the field (after you let a strong machine do the learning.)
It is a big plus that nVidia adopted the RPi pinouts on it's 40 pin section, but watch out for the small but not insignificant differences or you could release the magic smoke