Jetson Orin Modules Deliver Giant Leap in Performance

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Orin
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I recently found detailed information and the datasheet for the Jetson Orin Nano Super Developer Kit, which highlights its performance improvements. However, I couldn’t locate a datasheet for the Jetson Orin NX series. Could someone provide insights on how the performance boost for the Orin Nano Super can be applied to other modules like the Orin NX series? Additionally, I’m curious about the specific process for implementing these updates and the expected performance improvements for other Jetson modules. Any detailed guidance or references would be appreciated!

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Hi,
Here are some suggestions for the common issues:

1. Performance

Please run the below command before benchmarking deep learning use case:

$ sudo nvpmodel -m 0
$ sudo jetson_clocks

2. Installation

Installation guide of deep learning frameworks on Jetson:

3. Tutorial

Startup deep learning tutorial:

4. Report issue

If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.

Thanks!

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Thank you for the suggestions. My main question is focused on the Jetson Orin NX series: Are there specific updates or optimizations, similar to the Orin Nano Super, that can enhance its performance? Additionally, is there documentation on the process for applying such updates or understanding the expected improvements for Orin NX modules?

Here in this link in the Boosting Jetson Orin Performance for All With Super Mode section it makes a comparison between old and new model. But couldn’t find what is currently changed and what’s not.

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NVIDIA stated that the “Super” mode for Orin NX modules will be released with JetPack 6.1.1 in January.

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