NVIDIAJetson Orin Nano Super Developer Kit

great soc when u can get it for <$250. otherwise it's not worth it. I say that with dependence on what you want ti for. I wanted to play with LLMs. Note that native Ollama and RAM stripped down significanly (no gui, no vision.etc) one can host one LLM max 8B param. with that you'll be running with 10MB RAM to spare. Oh and get rid of the zram and create a 8-16gb swapfile.

This is five star blazing fast awesomeness for just $250. It’s like a raspberry pi on steroids. BUT there’s an issue straight out of the box for me where the browser, chromium wouldn’t work. This issue can be easily resolved by downloading a previous version of Snap, then holding it at that version. There’s an article on jetsonhacks titled “ Why Chromium Suddenly Broke on Jetson Orin (and How to Bring It Back)” that will give you the terminal commands. Happy hacking

Great little board to learn AI

Quiet an impressive little edge computing device to start experimenting with AI. Not easy to setup though if you are not technical.However mine came with a power supply dead on arrival out of the box.

what a waste of time, not worth my sanity. another day and I'd likely take a sledge hammer to it.nvidia software, their os, the sdk, the code examples (jetson lab), all of it is just absolute garbage.first, you must have real computer (vm won't do) with intel and ubuntu 22.04 just to flash the nvme.then you find out nothing works. first clue was their "readme" link they placed on the desktop "for my convience", which doesn't work, points to nothing. snap needs downgrading before you can run any program. then there are the ai software examples from their own lab. I wasted a week so far trying. only ollama native or container work. I can't make anything else work, and these are their own "tutorials" for this board. all I learned from those is to stay far away from nvidia. I don't believe any of that software, the os and the tutorials are tested or that they are maintaned. their support forums have nothing useful.none of the speech or image or vision tutorials work, all I get is errors, or no response. docker containers start, but nothing listens on the ports I'm supposed to browse to.a swap file is necessary to run anything because the os and nvidia crapware already use about 2-3 GB, leaving very little for models.performance is disapointing, the advertised 67 tops is a lie, marketing bs.in the "super" mode it throttles down immediatelly, actually it trottles down in all power modes.the fan does nothing because it defaults to quiet mode, and you must find a way to set it to allow it to do its job of actually cooling the chip.every step is a struggle, hours of trying, hundreds of gigabytes of wasted downloads.I bought this nvidia dev kit because of the hardware specs:, 1024 cudas, 32 tensors, 2 pcie slots, gpio, 2 csi cameras. but it's all useless without working software and drivers and documentation, and nvidia people have no clue how to code. I know nvidia since mid 90s, their video card drivers were always horrible.

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.

Sent with an upgraded firmware, direct setup using jetpack 6.2 via micro sd. Nice for an edge device. Currently running on 5MP CCTV streams running default yolo model on 15Watt power mode achieved 2 FPS.. not bad...

Very cool