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Nvidia announces Jetson Nano 2GB, a single board computer

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Re: Nvidia announces Jetson Nano 2GB, a single board computer

#141

Post by jeremyjh »

banachtarski wrote: post #126
chunkyks wrote: post #42

I 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…

I'm not going to lie, I don't understand the usage of Python and other such languages in the embedded space in general.

This is not really the classic embedded space; it is a full ARM processor running a full linux operating system. Its more like a small server than a MCU board. It couldn't be used for hard real-time requirements.

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#142

Post by my123 »

microtonal wrote: post #131
hobofan wrote: post #98

Earlier quoted context omitted.

I would guess because the NVIDIA driver/library support on 20.04 is still lacking. I just set up a new 20.04 for ML and the official NVIDIA repos for this version were still missing a few cuXYZ libraries. I had to also add the 18.04 repos and symlink them together to get some Frankenstein library mess that works (as far as I can tell).

Wait, what? That really surprises me. I am using CUDA 11 on NixOS unstable (which is a rolling release) without any issues at all. Or is that on Aarch64?

Jetson is still on CUDA 10.2 which only supports fully GCC 8 and earlier.

Support for CUDA 11 is coming soon, with the bump to Ubuntu 20.04 at the same time too. However, patching those issues isn't very problematic.

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#145

Post by bserge »

webwanderings wrote: post #58

I want to setup something like this for my daughter's primary grade school meetings using Zoom. Any suggestions? Are the Pis or this device up to par now for such use case? I totally do not like Chromebooks, and standard laptops are an overkill.

Go with the overkill, used mobile workstations are cheaper than new Chromebooks. Just imo

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#146

Post by bserge »

Shared404 wrote: post #41

This seems like it could be useful for home automation. Is this enough power to do voice recognition? I'm sorry if this is a stupid question, I haven't done anything with ML before.

You can use a smartphone for that. There are options other than Google for hotword detection, but you could hook into Assistant, as well. Bit of a pain in the ass, but it works.

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#147

Post by andrewstuart »

slezyr wrote: post #31

I booted mine Radxa Rock (rk3188) with BareBox, ArchLinux ARM and a mainline kernel. It just took me few hundred hours to figure out all the problems on my way there. And it's one of the most open source friendly ARM SOCs. I wish luck to everyone buying these things. You'll need it to run any modern distro in a few years.

I took alot of interest in various small ARM devices.

Only to realise that lack of software support makes them almost all pretty much completely useless.

I wouldn't use any randomly bought ARM device now for hobby projects, except the Raspberry Pi.

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#148

Post by jcelerier »

bityard wrote: post #139
jcelerier wrote: post #123

Earlier quoted context omitted.

> You've adopted a LTS release which was made public 2 years ago, was already a couple of years in the making, and is aimed at establishing a solid and reliable base system that can be targetted by the whole world with confidence. From my experience, 0.05% of the people who have an Ubuntu x.y chose it because of "stability promises" of the LTS release. They just want a quick linux install to run their shit on, or it…

> From my experience, 0.05% of the people who have an Ubuntu x.y chose it because of "stability promises" of the LTS release. Your experience and my experience differ greatly, then. I manage around a hundred virtual and bare-metal Ubuntu 18.04 LTS systems. Most of our docker containers (not included in the number above) are based on an Ubuntu 18.04 image because that's what we have standardized our infrastructure aro…

> We are too busy focusing on delivering value to the business

there are a lot more linux users out there than business users

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#149

Post by jcelerier »

my123 wrote: post #127
jcelerier wrote: post #123

Earlier quoted context omitted.

> You've adopted a LTS release which was made public 2 years ago, was already a couple of years in the making, and is aimed at establishing a solid and reliable base system that can be targetted by the whole world with confidence. From my experience, 0.05% of the people who have an Ubuntu x.y chose it because of "stability promises" of the LTS release. They just want a quick linux install to run their shit on, or it…

gcc is part of the infrastructure, for the simple reason that you need the same compiler version to build Linux kernel modules.

> for the simple reason that you need the same compiler version to build Linux kernel modules.

Which kernel modules wouldn't come as precompiled packages in Ubuntu ? (real question - as an Arch user for instance I haven't had the need for DKMS for years)

Re: Nvidia announces Jetson Nano 2GB, a single board computer

#150

Post by goda90 »

bserge wrote: post #146
Shared404 wrote: post #41

This seems like it could be useful for home automation. Is this enough power to do voice recognition? I'm sorry if this is a stupid question, I haven't done anything with ML before.

You can use a smartphone for that. There are options other than Google for hotword detection, but you could hook into Assistant, as well. Bit of a pain in the ass, but it works.

I think there's a desire for privacy which you can't get using Google's speech to text solutions.
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