# Images built using \`--emulated\` option not working for Jetson Nano

**URL:** <https://forums.balena.io/t/images-built-using-emulated-option-not-working-for-jetson-nano/175359>\
**Category:** openBalena\
**Tags:** support, docker, nano\
**Created:** [August 19, 2020, 1:52pm UTC](https://forums.balena.io/t/images-built-using-emulated-option-not-working-for-jetson-nano/175359 "2020-08-19T13:52:33Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![saintaardvark](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/saintaardvark/32/3390_2.png) [@saintaardvark](https://forums.balena.io/u/saintaardvark)\
**Post date:** [August 19, 2020, 10:30pm UTC](https://forums.balena.io/t/images-built-using-emulated-option-not-working-for-jetson-nano/175359/10 "2020-08-19T22:30:48Z")

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Hi @abmg – thanks for the additional info. I was able to duplicate your problems when deploying to my Jetson Nano, using your Dockerfile. I think what’s happening here is that the image is being built using an incorrect architecture; if I add the `file` utility to the `nginx:alpine` container, I can see that:

- when I run `balena deploy` locally, the `nginx` binary is for x86\_64 (my laptop’s architecture); on my Nano, I see the `exec format error` you saw;
- but when I run `balena push`, which uses the balena Cloud builders, the binary is for ARM aarch64 architecture, and on the Nano everything is fine.

I was able to get around this by using [https://hub.docker.com/r/arm64v8/nginx](https://hub.docker.com/r/arm64v8/nginx), which is an official Docker build of nginx for 64-bit ARM:

- `FROM arm64v8/nginx` as the first line of the Dockerfile
- `balena deploy JetsonNanoApp --emulated --build` as the command

A quick search turned up [this issue](https://github.com/balena-io/balena-cli/issues/1614) and [this forum post](https://forums.balena.io/t/deploy-failed-when-running-balena-deploy/5486/10), which offer a good background on what’s going on here.

One thing I’m not sure about is whether the balena CLI should be fetching the correct image when using `nginx:alpine`; I will check with a colleague of mine and get back to you. In the meantime, can you give this workaround a try and let us know if it works for you?

All the best,  
Hugh

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