Template:JetsonNano/Main contents: Difference between revisions
mNo edit summary |
mNo edit summary |
||
(11 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
<seo title="Jetson Nano | NVIDIA Jetson Nano | RidgeRun" titlemode="replace" keywords="GStreamer, Linux SDK, Linux BSP, Embedded Linux, Device Drivers, Nvidia, Jetson, TX1, TX2, Jetson AGX Xavier, Jetson Nano, Embedded Linux driver development, Linux Software development, Embedded Linux SDK, Embedded Linux Application development, GStreamer Multimedia Framework,NVIDIA,Nano,AI,Deep Learning" description="NVIDIA Nano is an embedded system-on-module (SOM) from NVIDIA. Learn more about NVidia Jetson family SOMs at RidgeRun."></seo> | <seo title="Jetson Nano | NVIDIA Jetson Nano | RidgeRun" titlemode="replace" keywords="GStreamer, Linux SDK, Linux BSP, Embedded Linux, Device Drivers, Nvidia, Jetson, TX1, TX2, Jetson AGX Xavier, Jetson Nano, Embedded Linux driver development, Linux Software development, Embedded Linux SDK, Embedded Linux Application development, GStreamer Multimedia Framework, NVIDIA, Nano, AI, Deep Learning" description="NVIDIA Nano is an embedded system-on-module (SOM) from NVIDIA. Learn more about NVidia Jetson family SOMs at RidgeRun."></seo> | ||
{{DISPLAYTITLE:Jetson Nano|noerror}} | {{DISPLAYTITLE:Jetson Nano|noerror}} | ||
Line 14: | Line 8: | ||
<div style="padding:2rem 1rem; margin:0; background-color:#004a9f;color:#ffffff;"> | <div style="padding:2rem 1rem; margin:0; background-color:#004a9f;color:#ffffff;"> | ||
<div> | <div> | ||
<p style="font-size: 4em; margin-bottom:0">Welcome to RidgeRun's guide to NVIDIA<sup>®</sup> Jetson Nano™</p> | <p style="font-size: 4em; margin-bottom:0">Welcome to RidgeRun's guide to NVIDIA<sup>®</sup>Jetson Nano™</p> | ||
<p style="font-size: 1em; margin-top:0; margin-bottom:4rem"></p> | <p style="font-size: 1em; margin-top:0; margin-bottom:4rem"></p> | ||
</div> | </div> | ||
</div> | </div> | ||
| rowspan="2" valign="top" style="text-align:center;" | {{JetsonNano/TOC}} | | rowspan="2" valign="top" style="text-align:center;" | {{JetsonNano/TOC}} | ||
|- | |||
| width="100%" valign="top" halign="center"| | |||
{{NVIDIA Preferred Partner logo}} | |||
|- | |- | ||
| width="100%" valign="top" | | | width="100%" valign="top" | | ||
|- | |- | ||
| width="100%" valign="top" colspan="3" style="background-color: #63a3ff; font-weight: bold; text-align: center; color:#ffffff"| | | width="100%" valign="top" colspan="3" style="background-color: #63a3ff; font-weight: bold; text-align: center; color:#ffffff"| | ||
NVIDIA Jetson | NVIDIA<sup>®</sup>Jetson Nano™ | ||
|- | |- | ||
| width="100%" valign="top" colspan="3"| | | width="100%" valign="top" colspan="3"| | ||
Line 31: | Line 28: | ||
<td><div class="clear; float:right">__NOTOC__</div></td> | <td><div class="clear; float:right">__NOTOC__</div></td> | ||
<td> | <td> | ||
[[File:Jetson-nano-0.jpg|400px|center]] | [[File:Jetson-nano-0.jpg|400px|center|link=]] | ||
</td> | </td> | ||
</tr></table> | </tr></table> | ||
'''NVIDIA Jetson | '''NVIDIA<sup>®</sup>Jetson Nano™''' is an embedded system-on-module (SoM) from the NVIDIA Jetson family. It is a small, and powerful computer for embedded AI systems and IoT that delivers the power of modern AI in a low-power and low-cost platform. This is the smallest, cheapest, and less power consumption device of the Jetson Family, but still maintains a high computing capability that delivers the performance and power efficiency needed for the latest visual computing applications, making it a very good option for embedded deep learning, computer vision, IoT, graphics, and GPU computing projects. | ||
Line 42: | Line 39: | ||
The '''Jetson Nano''' comes with an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. It provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption. '''Jetson Nano''' runs Linux and | The '''Jetson Nano''' comes with an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. It provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption. '''Jetson Nano''' runs Linux and it's compatible with all the Jetson family software stack (Jetpack, L4T, CUDA, DeepStream, TensorRT, CuDNN, AI Frameworks ...). As it is common with all the NVIDIA Jetson Family devices, this platform has huge support from NVIDIA, Jetson Ecosystem Partners, and the community. | ||
'''Jetson Nano''' comes in two versions — the $99 devkit for developers, makers and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems. | '''Jetson Nano''' comes in two versions — the $99 devkit for developers, makers, and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems. | ||
Line 61: | Line 58: | ||
|- | |- | ||
| width="100%" valign="top" colspan="3"| | | width="100%" valign="top" colspan="3"| | ||
<span style="color:DarkViolet;font-size:110%"> '''RidgeRun is an official NVIDIA Partner and we have created this extensive set of documentation to support our joint customers. If you have any questions on the content, please contact us through our [https://www.ridgerun.com/contact Contact Us] page.''' </span> | |||
RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes. | RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes. | ||
Line 68: | Line 67: | ||
[[File:xavier_get_started_here.png|400px|frameless|center|link=Jetson_Nano/Introduction]] | [[File:xavier_get_started_here.png|400px|frameless|center|link=Jetson_Nano/Introduction]] | ||
<br> | |||
{{ContactUs}} | {{ContactUs}} | ||
|} | |||
[[Category:JetsonNano]][[Category:Jetson]] | [[Category:JetsonNano]][[Category:Jetson]] |
Latest revision as of 19:31, 4 August 2022
Welcome to RidgeRun's guide to NVIDIA®Jetson Nano™ |
| |||||||||||||||||
| ||||||||||||||||||
NVIDIA®Jetson Nano™ | ||||||||||||||||||
See also | ||||||||||||||||||
RidgeRun support | ||||||||||||||||||
RidgeRun is an official NVIDIA Partner and we have created this extensive set of documentation to support our joint customers. If you have any questions on the content, please contact us through our Contact Us page. RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes. This page contains detailed guides and information on how to get started with the NVIDIA Jetson Nano and start using its full capabilities. To get up-to-speed with your NVIDIA Jetson Nano board, start by clicking below:
|