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frontpagephoinix | Staff posted Yesterday 02:26 AM
frontpagephoinix | Staff posted Yesterday 02:26 AM

NVIDIA Jetson Orin Nano Super Developer Kit

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$249

$249

Amazon
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Amazon has NVIDIA Jetson Orin Nano Super Developer Kit for $249. Shipping is free.

Arrow also has NVIDIA Jetson Orin Nano Super Developer Kit for $249. Shipping is free.

Thanks to Deal Hunter phoinix for finding this deal.

Product Description:
  • The NVIDIA Jetson Orin™ Nano Super Developer Kit is a compact, powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance, a 1.7X improvement over its predecessor, to run vision transformers, large language models, and more. This affordable and accessible platform is supported by NVIDIA AI software and a broad ecosystem. Existing users can upgrade with just a software update, unlocking new possibilities in generative AI.

Editor's Notes

Written by johnny_miller | Staff
  • About this Deal:
    • Please see the original post for additional details and give the WIKI and forum comments a read for helpful discussion.
  • About this Product:
    • This has a 4.0 out of 5 star overall rating on Amazon based on over 110 reviews.
  • About this Store:

Original Post

Written by phoinix | Staff
Product Info
Community Notes
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Deal Details
Product Info
Community Notes
About the Poster
Amazon has NVIDIA Jetson Orin Nano Super Developer Kit for $249. Shipping is free.

Arrow also has NVIDIA Jetson Orin Nano Super Developer Kit for $249. Shipping is free.

Thanks to Deal Hunter phoinix for finding this deal.

Product Description:
  • The NVIDIA Jetson Orin™ Nano Super Developer Kit is a compact, powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance, a 1.7X improvement over its predecessor, to run vision transformers, large language models, and more. This affordable and accessible platform is supported by NVIDIA AI software and a broad ecosystem. Existing users can upgrade with just a software update, unlocking new possibilities in generative AI.

Editor's Notes

Written by johnny_miller | Staff
  • About this Deal:
    • Please see the original post for additional details and give the WIKI and forum comments a read for helpful discussion.
  • About this Product:
    • This has a 4.0 out of 5 star overall rating on Amazon based on over 110 reviews.
  • About this Store:

Original Post

Written by phoinix | Staff

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Top Comments

StrongName8719
23 Posts
22 Reputation
Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster
Katostrofik
232 Posts
62 Reputation
Just following up with, ABSOLUTELY. This is not a powerful (computationally) device. It doesn't have a lot of fast ram to load models. Pretty much any GPU with 8gb VRAM will perform much better than this.

But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects.

Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.

For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.

20 Comments

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Yesterday 03:19 AM
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Joined Jan 2023
Yesterday 03:19 AM
StrongName8719Yesterday 03:19 AM
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Our community has rated this post as helpful. If you agree, why not thank StrongName8719

Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster
14
Pro
Yesterday 04:10 AM
7 Posts
Joined Dec 2024
Yesterday 04:10 AM
Samadaeus
Pro
Yesterday 04:10 AM
7 Posts
Quote from StrongName8719 :
Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster
Dollar per dollar, do you still have the same opinion?
2
Yesterday 08:39 AM
1,226 Posts
Joined Dec 2006
Yesterday 08:39 AM
thetoadYesterday 08:39 AM
1,226 Posts

Our community has rated this post as helpful. If you agree, why not thank thetoad

Quote from Samadaeus :
Dollar per dollar, do you still have the same opinion?
I mean you can buy 3060s (with 12GB of ram) for less than $250. So if its a choice between this or a 3060, the answer is clear. If its an independent system (i.e. a 3060+ everything else needed), perhaps gets more complicated.
1
Yesterday 10:32 AM
232 Posts
Joined Jul 2012
Yesterday 10:32 AM
KatostrofikYesterday 10:32 AM
232 Posts
Quote from Samadaeus :
Dollar per dollar, do you still have the same opinion?
Just following up with, ABSOLUTELY. This is not a powerful (computationally) device. It doesn't have a lot of fast ram to load models. Pretty much any GPU with 8gb VRAM will perform much better than this.

But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects.

Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.

For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.
Yesterday 07:53 PM
220 Posts
Joined Jun 2014
Yesterday 07:53 PM
dogboyaa1Yesterday 07:53 PM
220 Posts
Quote from Katostrofik :
Just following up with, ABSOLUTELY. This is not a powerful (computationally) device. It doesn't have a lot of fast ram to load models. Pretty much any GPU with 8gb VRAM will perform much better than this. But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects. Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.
Just out of curiosity I am super new to this stuff but how would this compare to say a google coral dev board or just a regular computer with a google coral. To do ai video detecting? I have a bunch of the google coral dev boards and played with frigate but curious on a comparison.
Today 07:01 AM
1,149 Posts
Joined Apr 2010
Today 07:01 AM
fatguypoolsharkToday 07:01 AM
1,149 Posts
Quote from StrongName8719 :
Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster

Thanks, appreciate that. I was wondering why anyone would run this over a dedicated GPU since plenty of GPUs in this price range blow it out of the water on TOPS etc.
Today 11:38 AM
131 Posts
Joined Jul 2009
Today 11:38 AM
BerlinToday 11:38 AM
131 Posts
Quote from dogboyaa1 :
Just out of curiosity I am super new to this stuff but how would this compare to say a google coral dev board or just a regular computer with a google coral. To do ai video detecting? I have a bunch of the google coral dev boards and played with frigate but curious on a comparison.
This blows the coral dev board away in terms of power. 67 TOPS vs 4 TOPS. 8 GB RAM vs 1 or 4 GB RAM. More importantly, as typical for Google, they seem to have abandoned any sort of support for coral. There haven't been product updates since 2020, and I suspect there won't be?
1

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Today 12:02 PM
1,037 Posts
Joined Oct 2017
Today 12:02 PM
814h4853n7Today 12:02 PM
1,037 Posts
If you want to experiment with CUDA or do some basic AI workflows, you probably want to just rent a GPU or use machine learning notebook services. The device is so underpowered that it is not very useful outside very specific purposes. Also see discussions: https://www.reddit.com/r/LocalLLa...ake_sense/
Today 12:15 PM
51 Posts
Joined Jul 2010
Today 12:15 PM
Petrucci914Today 12:15 PM
51 Posts
Can you load an OS on this and use it as a mini-PC?
Today 12:25 PM
366 Posts
Joined Jun 2007
Today 12:25 PM
motor-headToday 12:25 PM
366 Posts
Quote from Petrucci914 :
Can you load an OS on this and use it as a mini-PC?
I had the previous version (Jenson Nano, without ORIGIN in the name). 4 GB RAM and booting of micro SD.

Yes, it ran a custom version of Ubuntu, and it was more or less like a Raspberry Pi but with better GPU.

I don't have experience with this particular model, but the previous one one not able to play smooth youtube videos ay high resolution. Maybe this one does.

but as a browsing and editing offie documents (Libre Office or Goole Docs) this should be fine.
Pro
Today 12:32 PM
422 Posts
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Today 12:32 PM
Nothingworked
Pro
Today 12:32 PM
422 Posts
Can this be used to create a home assistant? I've been interested in having local controls after the Alexa issue in the last 30 days. Amazon did something that stopped all the apps from working for a few hours. So lights, music and automations all ceased working. The Alexa response was to fix the app in the Alexa program, but there were no apps to fix.
1
Today 01:28 PM
2,888 Posts
Joined Aug 2006
Today 01:28 PM
whatgooddealToday 01:28 PM
2,888 Posts
how is this Slickdeal? a saving of $0.00
Today 01:30 PM
32 Posts
Joined Nov 2013
Today 01:30 PM
magixxToday 01:30 PM
32 Posts
Quote from Nothingworked :
Can this be used to create a home assistant? I've been interested in having local controls after the Alexa issue in the last 30 days. Amazon did something that stopped all the apps from working for a few hours. So lights, music and automations all ceased working. The Alexa response was to fix the app in the Alexa program, but there were no apps to fix.
Yes but using this would be overkill. You could use a rasberrypi or similar fruit board ($50) or even a N100 miniPC ($110)
Today 01:39 PM
220 Posts
Joined Jun 2014
Today 01:39 PM
dogboyaa1Today 01:39 PM
220 Posts
Quote from Berlin :
This blows the coral dev board away in terms of power. 67 TOPS vs 4 TOPS. 8 GB RAM vs 1 or 4 GB RAM. More importantly, as typical for Google, they seem to have abandoned any sort of support for coral. There haven't been product updates since 2020, and I suspect there won't be?
If I wanted to do my own private ChatGPT equivalent (understanding that it won't be as fast of course) what would you recommend for less that $250?

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Today 02:06 PM
32 Posts
Joined Nov 2013
Today 02:06 PM
magixxToday 02:06 PM
32 Posts
$249 seems to be the new regular price per nVidia's page at https://www.nvidia.com/en-us/auto...loper-kit/ so I wouldn't rush out to buy it unless you need it.

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