What is jetson nano? What is jetson nano used for? How much computing power does jetson nano provide? How much does jetson nano cost?
NVIDIA Jetson Nano is an integrated system-on-module (SoM) and developer kit from the NVIDIA Jetson family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4 GB LPDDR4 memory and MIPI CSI-2 and PCIe Gen2 high-speed I / O assistance.
NVIDIA ® Jetson NanoTM Developer Kit is a tiny, strong computer that allows you to run various parallel neural networks for apps such as classification of images, detection of objects, segmentation, and speech in simple word it is useful for deploying computer vision and deep learning. All in a user-friendly platform running in as few as 5 watts up to 10 watts.
|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|
80x100mm Carrier Board with jetson nano
A Passive heatsink
Pop-up paper stand
Getting Started Guide
4x USB 3.0 A (Host)
USB 2.0 Micro B (Device)
MIPI CSI-2 x2 (15-position Camera Flex Connector)
Gigabit Ethernet (RJ45)
M.2 Key-E with PCIe x1
MicroSD card slot
(3x) I2C, (2x) SPI, UART, I2S, GPIOs
⚠️Warning While the OS image and other installations fit comfortably on a 16 GB card, it generally results in root filesystem signing up and ‘ no space left on device ‘ errors during inferencing using that tiny card. So minimum 32GB is required.
Plug in display into Jetson via HDMI also attach USB keyboard & mouse, and apply power to boot it up.
TensorRT and cuDNN for high-performance deep learning applications
CUDA for GPU accelerated applications across multiple domains
Multimedia API package for camera applications and sensor driver development
VisionWorks and OpenCV for visual computing applications
JetPack involves several samples showing the use of parts from JetPack. The examples are stored in the filesystem of the reference and can be recorded on the developer kit.