Getting Started with the NVIDIA Jetson AGX Orin Developer Kit

The NVIDIA Jetson AGX Orin Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines.

In this video we take you through an overview of the Jetson AGX Orin Developer Kit including its key features, specifications, and components along with how to power on and initiate first boot of the device.

For more details please check out our Getting Stated Guide:

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[calden]

Mine just arrived and so far I'm in love with this model. The GPU is insane and the CPU is more than adequate ro run any emulation. I'm using the Orion as a desktop computer as it's insanely fast. Take the new Arm version of Blender, I have 10 Jetson Xavier's that are currently used as a render farm

[aarond]

Cool, When can we buy some Jetson hardware!

[Ericelrojo]

Nvidia why do you only allow to install a bloatware-heavy version of Ubuntu? That doesn't take advantage of the hardware and wastes a lot of space, it's fine for desktop computers but for embedded systems it's not a good idea. Why don't you offer light server distros of Linux or offer the drivers so that at least we developers can compile the Linux distribution we want ?

[playthisnote]

The jetson agx Orin, Can you test stable diffusion. And also a good video editing program like di Vinci. The ai suggest that you can run both on there. I have an old laptop and where as I’m not concerned with playing high end games it looks like this may be a good purchase to consider LLM running locally, stable diffusion, and general video editing 4k video for example.

[Avadon]

At least this one comes with a case. It was ridiculous that they didn't even have a case for the tx1 and tx2

[PAOLOHAON]

Can I ran Nvidia's Isaac Sim, IsaacGym, and Orbit directly on this processing unit ?

[余风-pl]

hello, can Orin use Android system，not linux？If can，how should I do？thanks（可以刷机刷 android吗？网上没找到教程，想试一下。）

[jeffg]

These things REALLY need to be used for XR headsets.
Just clip it on belt. Clip the battery on other side of belt, keep headset light. Have the REAL power to do 3d.

[LukTzeChing]

I saw the price is marked as $2000 USD, meanwhile the Xavier only cost less than $1000, am I wrong or is there a big difference between two hardware?

[MaeMae-teg]

Hopefully this is in a new more powerful Switch 🧡

[nourishcherish]

please stock up jetson nano developer kit. it's out of stock everywhere

[Beyond]

The Nvidia Jetson AGX Orin Developer kit is Made in China. Is there an alternative solution that is made anywhere but China? My client needs NDAA compliant devices. Please help!

[emreekmekcioglu]

Can NVIDIA Jetson AGX Orin Developer Kit 64GB – 945-13730-0055-000 be used for fine tuning some pretrained LLMs, CodeLLama fo example?

[kasimsche]

As a student can I get this for free for my hands on in any means ???

[oletange]

It is unclear to me how big models I can run on a Jetson AGX Orin 64GB.

Can I run models that take up 64GB of tensor RAM or does the 64GB simply refer to the system RAM?

Is this more or less comparable to a A100 Tesla card? Or am I missing an important factor?

[CppExpedition]

EXCELLENT VIDEO NVDA!
-> PLEASE FIX YOUR WEB IS SO CONFUSED!
-> I CANNOT FIND INFO I NEED
-> i need to know which products do you offer and compare them all.
-> i don't understand what to buy, many boards.
-> i am confused about 'Jetson'... 'Orin'... Fuck marketing i want tech stuff! clear and descriptive.
-> Is your board a raspberri pi with steroids and GPU?
-> can i train (not just inference) my own models? or do they just work on predefined models?
-> is it there an online catalog?

[ProjectPhysX]

If you can slap 64GB memory on such a tiny board, why not also on your other GPUs?
The demand for memory capacity and bandwidth is higher than ever. More fast memory would benefit countless scientists, video producers and consumers!

[willjck]

So, what does this 64 GB mean? is it RAM, or GPU memory ? if it is GPU memory, then what is the RAM ? or is it shared memory, like Apple devices ?