I don't see a good use of this over Raspberry Pi and Pi + Intel Neural Stick.
Nvidia announces Jetson Nano 2GB, a single board computer
101–110 of 205 posts
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#102What are the use-cases for a GPU-accelerated single board computer?
Same as it's always been: Gaming. I bet even this $59 computer can play games surprisingly well. Obviously not modern AAA titles or anything like that, but there's many decades' worth of games it can play (including ones originally released for non-PC platforms). There's lot of interesting Pi-powered handhelds and mini-arcade setups running emulated games; this seems like it'd be significantly better at that.
Gaming is not the purpose of GPU accelerated single board computers. Though you could reasonably play some games on the Jetson Nano, Nvidia markets the jetson series as embeddable machine learning systems. While there may be complaints of how hot the jetson gets or its performance with Ubuntu, the jetson is not intended to be used as a personal computer. It’s cheaper than dirt machine learning access. I highly recommend it as a way to get started in AI or CUDA with the smallest price barrier possible.
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#103Earlier quoted context omitted.
In the case of 'Python Virtual Environments' you'd still have to install another version of Python which is non-trivial with Debian based systems without causing some sort of collision, unless you download the binaries to /usr/ or other bin location as suggested.
I like to use pyenv for this purpose, as it "virtualizes" Python versions by installing them locally as you mention. Then you just point each virtualenv at the Python binary for the version installed via pyenv. pyenv + virtualenv + virtualenvwrapper have greatly reduced Python dependency issues for me.
A bunch of programming languages do a little bit similar like Node has Node Version Manager or nvm, I think Go has GVM, Rust just has Rust Up, they usually install in your home folder and let you swap between versions globally, I've yet to have to do this as I usually spin up a VM if I know I'm going to need to deploy to a very specific version of Debian / Ubuntu, a virtual environment might not match behavior on the actual target system but a VM definitely will.
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#104I have a Jetson nano. It's a nice thing for what it is, and the price. But, the software misses the mark by a lot. It's still based on Ubuntu 18.04. Want python later than 3.6? Not in the box. A lot of python modules need compiling, and the cpu is what you'd expect. Good for what it is, bad for compiling large numbers or packages. They run a fancy modern desktop based on the Ubuntu one. Sure, it's Nvidia, gotta be fl…
> Want python later than 3.6?
apt-get install python3.7
or
apt-get install python3.8
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#105But can it run Kodi with 4k streaming?
The video decoder can do 4k at 60fps or two stream 4k at 30fps
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#106I was excited until I read the hn comments below. Sounds quite painful still. Which is a more issue for enthusiasm driven tinkering
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#107I don't see a good use of this over Raspberry Pi and Pi + Intel Neural Stick.
You can see the inference benchmarks of OG Jetson Nano and RPi3 with Intel Neural Compute Stick[1]; the FPS are at least double if not more for all tests on Nano and many tests did not run on RPi3+INCS due to memory.
It would be interesting to see the tests repeated with Raspberry Pi 4B + Intel Neural Compute Stick 2, but I doubt whether there will be any drastic difference as this setup will still be bottlenecked by USB bandwidth when compared to Jetson Nano.
Even if the performance matches some how, the price/value is overwhelmingly favourable to Jetson Nano more so with the new cheaper 2GB version.
[1] https://developer.nvidia.com/embedded/jetson-nano-dl-inferen...
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#108Earlier quoted context omitted.
Oh geez. How did you even figure this one out?
This sort of thing isn't that weird in small cheap devices. They more or less demand clean power, which is why the Pi4 is heavily recommended to be used with their official charger. I find it gets unstable with cheaper USB C chargers. I specifically buy high quality chargers/cables/battery packs for my embedded work since they are so intolerant of bad power
What are your recommended brands of USB chargers?
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#109Earlier quoted context omitted.
Buy a chinese usb wifi dongle. They are very cheap.
But don't buy the WRONG dongle. I just spent 15+ hours trying to convince the Jetson Nano that the rtl8822bu driver ought to compile on an arm64 system. It's definitely not like the Pi, where 99% of the software is open source and you don't have to deal with Nvidia's nasty hackish tooling to download special Jetson headers and such.
Same here!! If you want wifi just go ahead and double check what works w/ it beforehand.. also remember that the USB bandwidth is shared on the Nano
Re: Nvidia announces Jetson Nano 2GB, a single board computer
#110I have a Jetson nano. It's a nice thing for what it is, and the price. But, the software misses the mark by a lot. It's still based on Ubuntu 18.04. Want python later than 3.6? Not in the box. A lot of python modules need compiling, and the cpu is what you'd expect. Good for what it is, bad for compiling large numbers or packages. They run a fancy modern desktop based on the Ubuntu one. Sure, it's Nvidia, gotta be fl…
FWIW, I got a review unit and it ships with a much lighter desktop environment (LXDE) this time and is has a swap file enabled by default. I guess that was needed to ship a 2GB version, but overall it seemed a little better thought out. They also include a wifi dongle in the box. It still only has Python 3.6, but OpenCV and numpy are pre-installed correctly this time so you don't have to compile them which is an impr…
Do you know who I could contact to request a review unit? (if you can share ofc - email in bio) I have an open-source Jetson-related project that I think the new model could be useful for.