NVIDIAJetson Orin Nano Super Developer Kit

Love this thing for AI experimenting. Not the most powerful, but for the price, can't go wrong. Have had no issues with the device.

Solid little toy

Ai in the palmnof your hands

Get used to seeing this error and having your whole docker based project crumble. Then you’ll be told “”Oh well, just simply recompile the kernel from source”. FYI our IT company wants $300 to compile a custom kernel from NVIDIA source and could not guarantee it would work.docker: Error response from daemon: failed to set up container networking: driver failed programming external connectivity on endpoint ollama (673848a3851b46a99c731d2b3e005901c4454ed00353da1eaaf4c34f78ac8510): Unable to enable DIRECT ACCESS FILTERING - DROP rule: (iptables failed: iptables --wait -t raw -A PREROUTING -p tcp -d [link removed] --dport 11434 ! -i docker0 -j DROP: iptables v1.8.7 (legacy): can't initialize iptables table `raw': Table does not exist (do you need to insmod?) Perhaps iptables or your kernel needs to be upgraded. (exit status 3))Take a good look because they left out the core .ko module for the firewall. What a joke. Returning. I’m an AI developer not a kernel expert nor unpaid beta tester.

Beware of the fake Jetson Orin Nanos being sold by unscrupulous sellers, but if you get a genuine one, like I did, you will be impressed by its power. What you are paying for is the ability to learn the same NVIDIA AI stack used by the ultra high-end, ultra expensive systems.I was able to run a smallish LLM model on it using OLLAMA and it was quite fast. For me that was worth the hassle. Because this is bleeding edge technology. I bricked the install three times and had to keep reburning the Jetson OS as the documentation of some seemingly simple tasks is sparse and contradictory.Four stars, minus one star as a warning that you will be messing with hardware and not just jumping into programming.

This Item matched the description was very fast shipping also.

After 4 days I finally got this running. The hardware is powerful for something so small. But honestly, it was nightmare to set this up because of the crappy software. First of all, the Jetpack 6 OS doesn't flash for models built before May 2024 unless you first install Jetpack 5 to update the firmware. And even then, Jetpack 6 only works on SD cards at this time, not on NVME drives. To use an NVME drive, you need to use Jetpack 5.1.13.... But nobody mentioned this in the docs. I had to delete Ubuntu 22 and install Ubuntu 20 on a laptop to successfully flash the Jetson. Also installing Pytorch and OpenCV with GPU support was a horrible experience. If you do it wrong, there will be no GPU support or some arcane error will happen. There are a lot of little dumb things. For example, Bluetooth Audio is disabled by default and you have to go to this random file to enable it again in order to use Bluetooth speakers or headphones. Visual Studio Code is not available on the Store. You have to search on somebody's website to download it.Eventually I did get it running like a normal Ubuntu computer with a GPU and I love it. But if I hadn't already thrown out the box and 3D printed a case for it... Probably would have just returned it.What the Dev team at Nvidia needs to do is to streamline and simplify the process so out of the box so that this thing operates like a cool minicomputer that you just boot up and use and then can later modify for robotics work. I had to search various YouTube videos, and internet forums to get this running... If I wasn't already experienced with Linux, and computer vision stuff... This product would have been impossible to use.

I like the nice packaging and the organized looks of the board. It seems to me that they really listened to the customers when designing this board. And all in all it is worth the money because of that little plastic caret around the board. This is very practical. I appreciate as well the wifi board, so I don't have to worry about compatibility of an addon board.The software part was not new to me since I am used to NVIDIA tools. I bought this one for hobby use and faced the situation of flashing this device from a Fedora Linux host. It took me about a day to get it flashed the hard way, that is no sd/card, but an SSD and sdkmanager tool.Booting it with an SDcard would have been simple, but I didn't want to have the slowdown that is reported with that mode.BTW this board supports PXE-Boot, so I wonder what can it boot that way.In my case, the flashing has still some installs todo but the system already runs and I see the GUI. This is good enough for starting development.Accessories - I wish more house options would pop up. For now it will get an end2end DIY housing.