Hello - I got a Jetson Orin Nano Super and was trying to follow the Getting Started with AI on Jetson Nano free course, but it had been a nigtmare with the recent JetPack 6.2. Do you know if the updated JupyterLab exist for my hardware? Thanks.
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The Jetson Orin Nano Super is a powerful device, and I’m happy to help you with your question.
Firstly, the Jetson Orin Nano Super is a software-optimized version of the original Jetson Orin Nano Developer Kit. This means that the hardware remains the same, but the software updates provide a performance boost of up to 1.7X.
Regarding the Getting Started with AI on Jetson Nano course, it’s great that you’re trying to follow along. However, since the course is designed for the original Jetson Nano, some of the instructions might not be directly applicable to the Jetson Orin Nano Super.
As for the updated JupyterLab, I couldn’t find any specific information on whether it’s available for the Jetson Orin Nano Super. However, I can suggest a few possible solutions:
- Check the NVIDIA website: You can visit the NVIDIA website and search for JupyterLab updates specifically for the Jetson Orin Nano Super. They might have released an updated version that’s compatible with your device.
- Use the JetPack SDK: The JetPack SDK is a comprehensive software development kit that includes JupyterLab, among other tools. You can try installing the latest version of JetPack SDK on your Jetson Orin Nano Super, which might include the updated JupyterLab.
- Look for community support: You can try searching online forums, such as the NVIDIA Developer Forums or Reddit’s r/JetsonNano, to see if other users have encountered similar issues and found solutions.
In comparison to the original Jetson Orin Nano Developer Kit, the Jetson Orin Nano Super has the same hardware specifications, but with software optimizations that provide a performance boost. This means that you can expect similar functionality and compatibility with the original device, but with improved performance.
To give you a better idea, here are some key specifications of the Jetson Orin Nano Super:
- 4GB or 8GB of LPDDR5 RAM
- 10W, 15W, 25W, or MAXN SUPER power modes
- Support for NVIDIA JetPack SDK and JupyterLab
- Compatible with the Jetson Orin Nano reference carrier board
In summary, while I couldn’t find specific information on the updated JupyterLab for the Jetson Orin Nano Super, you can try checking the NVIDIA website, using the JetPack SDK, or looking for community support to find a solution.
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Hi,
You can find our latest tutorial below:
Thanks.