# Nvidia Jetson Nano

**URL:** <https://discourse.julialang.org/t/nvidia-jetson-nano/22053>\
**Category:** Offtopic\
**Created:** [March 19, 2019, 1:56pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053 "2019-03-19T13:56:40Z")\
**Posts on this page:** 20\
**Page:** 2

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**Author:** ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)\
**Post date:** [November 11, 2019, 6:15pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/21 "2019-11-11T18:15:27Z")

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Gunter, the Linux/Ubuntu installation for the Jetson Nano is very up to data and is easy to use.  
You can install Julia by using snap install julia - but as discussed elsewhere on here today that will give you Julia version 1.0.4

It is your all of course, but if you want to try Ububtu we can help and support you.

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**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [November 11, 2019, 6:29pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/22 "2019-11-11T18:29:27Z")

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Hello John, thanks for your support! The page “Getting Started With Jetson Nano…” offers a tutorial for Windows and I’m working on it now! At the moment I’m trying to get the fan on the cooling fins and as always, the screws don’t fit! 😀😭

I will report about the state of progress and if I have problems, I will gladly come back to your offer! Thanks a lot!

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**Author:** ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)\
**Post date:** [November 11, 2019, 6:35pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/23 "2019-11-11T18:35:02Z")

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I believe the fan is not really needed until you start using it at maximum.  
Also one tip - make sure to use a power supply which will work with a Raspberry Pi or similar.  
A feeble mobile phone charger plus a cheap cable will not do it. You find this out when the Nano shuts down soon after booting.

I mention cheap cables - cheap cables are cheap because they use less copper, and so there is a voltage drop when high current goes through them. Select a decently thick cable if you can.

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**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [November 12, 2019, 10:43am UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/24 "2019-11-12T10:43:23Z")

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Thanks for the hint! I bought the Nano in a bundle (Nano, fan and power supply). It is offered in Germany by a reputable provider (Heise, very well-known magazine in Germany is the c’t) and still assumes that the power supply is the right one. This afternoon the first booting takes place! 🍾

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**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [November 18, 2019, 6:27pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/25 "2019-11-18T18:27:45Z")

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I like to admit that I am a Windows user. And since a few days, I’m trying to get used to Ubuntu to use my Jetson Nano with Julia. It’s a horror because I’m used to the luxury of Windows! 🕶

But seriously, did anyone get Julia version 1.0.4, which is offered through Ubuntu software, to work? I “only” see a “heartbeat” of the symbol for 15 seconds and then nothing happens anymore! Simply nothing more! Is Julia not compatible with the Jetson Nano? 🙄

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**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [November 19, 2019, 6:03pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/26 "2019-11-19T18:03:18Z")

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Julia runs on the Jetson Nano! After I’ve gone a little deeper into tar.gz file handling and struggled with the path variable, it works! Of course the current version and without compiling any files. The Nano was directly “ready for use”! 😀🍾

The exemplary package installation also worked directly!

 ![Bildschirmfoto%20vom%202019-11-19%2018-41-08](https://global.discourse-cdn.com/julialang/original/3X/e/3/e32444a71fbd4055d8ccf1df784134557f25eba9.png)

Thank you for your time and support!

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**Author:** ![ianshmean](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ianshmean/32/216042_2.png) [@ianshmean](https://discourse.julialang.org/u/ianshmean)\
**Post date:** [November 22, 2019, 11:23pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/27 "2019-11-22T23:23:13Z")

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Has anyone tried playing around with `ENV["CUARRAYS_MEMORY_LIMIT"]` on the nano with CuArrays? It’s rather memory limited, so I’d be keen to see if anyone’s found a sweet spot

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**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [November 23, 2019, 8:46am UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/28 "2019-11-23T08:46:28Z")

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I’m not there yet! I still stumble across the package installation, e.g. Arpack, and am now thinking about a workaround. Next, I want to install Flux, hopefully it will work without any challenges…

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**Author:** ![kcdysart](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/kcdysart/32/11619_2.png) [@kcdysart](https://discourse.julialang.org/u/kcdysart)\
**Post date:** [January 17, 2020, 8:09pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/29 "2020-01-17T20:09:52Z")

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Couldn’t be more of a beginner honestly but I managed to get Julia working on the Jetson Nano and run the above code.  
Result:  
97.924 ms (18 allocations: 3.82 MiB)

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**Author:** ![anon92994695](https://avatars.discourse-cdn.com/v4/letter/a/ce7236/32.png) [@anon92994695](https://discourse.julialang.org/u/anon92994695)\
**Post date:** [January 17, 2020, 11:38pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/30 "2020-01-17T23:38:13Z")

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Welcome to the community!!!

Did you run into any snags with the Jetson Nano?

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**Author:** ![Alexander-Barth](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alexander-barth/32/3692_2.png) [@Alexander-Barth](https://discourse.julialang.org/u/Alexander-Barth)\
**Post date:** [January 20, 2020, 1:55pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/31 "2020-01-20T13:55:13Z")

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Thanks a lot for make this tests! Are you generally satisfied with the performance for your application?

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**Author:** ![kcdysart](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/kcdysart/32/11619_2.png) [@kcdysart](https://discourse.julialang.org/u/kcdysart)\
**Post date:** [January 21, 2020, 3:56pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/32 "2020-01-21T15:56:42Z")

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Thanks! Not really. I had a lot of command line learning to do in  
Linux as a noob but once that was done it went pretty smooth. I  
did have more luck downloading from Julia and going through the  
steps to move the files to the proper folder and making the binary  
executable.

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<div class="post-metadata">

**Author:** ![Gunter\_Faes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gunter_faes/32/12580_2.png) [@Gunter\_Faes](https://discourse.julialang.org/u/Gunter_Faes)\
**Post date:** [January 26, 2020, 4:29pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/33 "2020-01-26T16:29:21Z")

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Today I finished a [video](https://youtu.be/cw_1D7UWsW0) (in German language) that shows the “new” Jetson Nano user how Julia is installed and used. I would be happy if especially Windows users find the video helpful.

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**Author:** ![jling](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jling/32/212909_2.png) [@jling](https://discourse.julialang.org/u/jling)\
**Post date:** [October 5, 2020, 3:49pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/34 "2020-10-05T15:49:15Z")

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there’s a new model now:

> **[NVIDIA Jetson Nano Developer Kit](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/education-projects/)**
>
> Get hands-on with AI and robotics.

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**Author:** ![orco](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/orco/32/7392_2.png) [@orco](https://discourse.julialang.org/u/orco)\
**Post date:** [October 6, 2020, 1:31pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/35 "2020-10-06T13:31:02Z")

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I installed following [this post](https://neuralmarkettrends.com/tutorials/tensorflow-julia-jetson-nano/). Installation of v. 1.5 went smooth in general; I just needed to install _gfortran_ as a dependency.  
Looking forward to run [some code](http://nbabel.org/codes/21) on it! 🤪 🤓

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**Author:** ![AmburoseSekar](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amburosesekar/32/13812_2.png) [@AmburoseSekar](https://discourse.julialang.org/u/AmburoseSekar)\
**Post date:** [November 6, 2020, 12:28pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/36 "2020-11-06T12:28:46Z")

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> [@jling](#):
>
> NVIDIA Jetson Nano 2GB Developer Kit

is anybody check julia in jetson nano 2GB kit ? is any memory problem ?  
kindly suggest 🙂

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**Author:** ![AmburoseSekar](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amburosesekar/32/13812_2.png) [@AmburoseSekar](https://discourse.julialang.org/u/AmburoseSekar)\
**Post date:** [November 28, 2020, 9:25am UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/37 "2020-11-28T09:25:36Z")

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work well with jetson Nano 2GB 🙂

 ![Screenshot from 2020-11-28 14-53-00](https://global.discourse-cdn.com/julialang/original/3X/d/1/d16bb8dafeb4b5bc4eeccce8bcfcc2fe15f248a7.jpeg)

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**Author:** ![skypuppy](https://avatars.discourse-cdn.com/v4/letter/s/54ee81/32.png) [@skypuppy](https://discourse.julialang.org/u/skypuppy)\
**Post date:** [September 25, 2021, 1:22pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/38 "2021-09-25T13:22:09Z")

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My random thoughts:

1. The training should be done by a host, with the Nano’s delegated to recognition in the field.
2. Be interesting if we could train the identical datasets on both a desktop and a Nano for a time comparison.
3. IMO, it’s absolutely required that all flux be run in GPU mode as long as there’s not a memory constraint. That is, the model actually fits onto the Nano. That severely limits our model sizes, comparing the 2/4 GB on the Nano versus 64 GB on a host.
4. L-O-N-G compiles could occur on the by cross-compiling on the host. Host in this case being a strong PC desktop or workstation. Eclipse would probably work and maybe MVSC (Visual Source Code?)
5. I have a 2 (coming) and a 4GB Nano as well as a TX2. When I win the big lottery, I’ll get an Xavier for all these tests.
6. The TX2 and the Xavier can use NVMe disk as virtual memory with the proper boot setup. Not sure if the Nano’s will ever have that capability. ☹

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<div class="post-metadata">

**Author:** ![skypuppy](https://avatars.discourse-cdn.com/v4/letter/s/54ee81/32.png) [@skypuppy](https://discourse.julialang.org/u/skypuppy)\
**Post date:** [April 30, 2022, 1:36am UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/39 "2022-04-30T01:36:30Z")

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Also, methinks the major reason to use a Nano versus an RPi is for that sweet, onboard GPU. Yeah, I know, shooting or the stars…

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**Author:** ![skypuppy](https://avatars.discourse-cdn.com/v4/letter/s/54ee81/32.png) [@skypuppy](https://discourse.julialang.org/u/skypuppy)\
**Post date:** [April 30, 2022, 12:48pm UTC](https://discourse.julialang.org/t/nvidia-jetson-nano/22053/40 "2022-04-30T12:48:51Z")

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You can “fugde” the memory on the Jetsons by installing a fast USB drive of considerable size, then getting a few gigabytes of it as virtual memory.

[Previous page](https://discourse.julialang.org/t/nvidia-jetson-nano/22053.md?page=1)