EZ-0075: Difference between revisions
| Line 21: | Line 21: | ||
!Features !! Details! | !Features !! Details! | ||
|- | |- | ||
| GPU || 128-core Maxwell | | | GPU || 128-core Maxwell || | ||
|- | |- | ||
|CPU || Quad-core ARM A57 @ 1.43 GHz | | |CPU || Quad-core ARM A57 @ 1.43 GHz || | ||
|- | |- | ||
|Memory || 4 GB 64-bit LPDDR4 25.6 GB/s | | |Memory || 4 GB 64-bit LPDDR4 25.6 GB/s || | ||
|- | |- | ||
|Storage || microSD (not included) | | |Storage || microSD (not included) || | ||
|- | |- | ||
|Video Encode || 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) | | |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) | | |Video Decode || 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) || | ||
|- | |- | ||
|Camera || 1x MIPI CSI-2 DPHY lanes| | |Camera || 1x MIPI CSI-2 DPHY lanes|| | ||
|- | |- | ||
|Connectivity || Gigabit Ethernet, M.2 Key E | | |Connectivity || Gigabit Ethernet, M.2 Key E || | ||
|- | |- | ||
|Display || HDMI 2.0 and eDP 1.4 | | |Display || HDMI 2.0 and eDP 1.4 || | ||
|- | |- | ||
|USB || 4x USB 3.0, USB 2.0 Micro-B | | |USB || 4x USB 3.0, USB 2.0 Micro-B || | ||
|- | |- | ||
|Others || GPIO, I2C, I2S, SPI, UART | | |Others || GPIO, I2C, I2S, SPI, UART || | ||
|- | |- | ||
|Mechanical || 100 mm x 80 mm x 29 mm | | |Mechanical || 100 mm x 80 mm x 29 mm || | ||
|} | |} | ||
Revision as of 15:53, 24 May 2019
NVIDIA® Jetson Nano™ Developer Kit
Description
NVIDIA® Jetson Nano™ Developer Kit is a small,
powerful computer that lets you run 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.
It’s simpler than ever to get started!
Just insert a microSD card with the system image, boot the developer kit, and begin using the latest NVIDIA JetPack SDK.
JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products.
Plus, it’s compatible with NVIDIA’s world-leading AI platform for training and deploying AI software,
reducing complexity and effort for developers.
Features
| Features | Details! | |
|---|---|---|
| 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 Encode | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) | |
| Video Decode | 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 | 100 mm x 80 mm x 29 mm |
Package Include
- 80x100mm Reference Carrier Board
- Jetson Nano Module with passive heatsink
- Pop-Up Stand
- Getting Started Guide
(the complete devkit with module and heatsink weighs 138 grams)
Gallery
TO be continue...
Document Links
- Download Center: [ https://developer.nvidia.com/embedded/downloads#?search=Jetson%20Nano ]
- Jetson Nano Developer Kit User Guide PDF file: [ File:Jetson Nano Developer Kit User Guide.pdf ]