# Tegra4Linux Kernel on TX2 **URL:** \ **Category:** Product support\ **Created:** [June 22, 2018, 5:33pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371 "2018-06-22T17:33:57Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![chachi](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/chachi/32/938_2.png) [@chachi](https://forums.balena.io/u/chachi)\ **Post date:** [June 22, 2018, 5:33pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371/1 "2018-06-22T17:33:57Z")
NVIDIA’s Tegra4Linux has a modified kernel to improve performance and make available some TX2-specific features. Does the ResinOS use this kernel or stock Linux on TX2? ---
**Author:** ![chrischabot](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/chrischabot/32/871_2.png) [@chrischabot](https://forums.balena.io/u/chrischabot)\ **Post date:** [June 22, 2018, 7:14pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371/3 "2018-06-22T19:14:39Z")
Hi @chachi – We use the nvidia kernel, with the latest release being based on the l4t-r28.2 kernel source. All of our device support work is fully open source, so if you wanted to lift the hood and explore what else is included in our TX2 support the repo is at: [https://github.com/resin-os/resin-jetson-tx2](https://github.com/resin-os/resin-jetson-tx2) – The kernel used can be seen in [https://github.com/resin-os/resin-jetson-tx2/tree/master/layers](https://github.com/resin-os/resin-jetson-tx2/tree/master/layers) by following the `meta-tegra` entry. The patches we add to that kernel are available at: [https://github.com/resin-os/resin-jetson-tx2/tree/master/layers/meta-resin-jetson/recipes-kernel/linux/linux-tegra](https://github.com/resin-os/resin-jetson-tx2/tree/master/layers/meta-resin-jetson/recipes-kernel/linux/linux-tegra) Hope that helps to clarify what’s in the TX2 image & let us know if there’s any additional information we can provide ---
**Author:** ![chachi](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/chachi/32/938_2.png) [@chachi](https://forums.balena.io/u/chachi)\ **Post date:** [June 22, 2018, 7:26pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371/4 "2018-06-22T19:26:14Z")
That’s great to hear. Thanks for the pointers to the repos, as well. ---
**Author:** ![chachi](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/chachi/32/938_2.png) [@chachi](https://forums.balena.io/u/chachi)\ **Post date:** [June 22, 2018, 7:27pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371/5 "2018-06-22T19:27:54Z")
Related, but are you aware of any way to easily get the tools (gstreamer, CUDA) which are included in the NVIDIA JetPack installer into Docker containers on top of ResinOS outside of just copying the files from a JetPack installed TX2? ---
**Author:** ![chrischabot](https://sea2.discourse-cdn.com/balena/user_avatar/forums.balena.io/chrischabot/32/871_2.png) [@chrischabot](https://forums.balena.io/u/chrischabot)\ **Post date:** [June 22, 2018, 8:35pm UTC](https://forums.balena.io/t/tegra4linux-kernel-on-tx2/3371/6 "2018-06-22T20:35:51Z")
Personally I’ve copied the setup scripting part from `Dockerfile.cudabase` at [https://github.com/open-horizon/cogwerx-jetson-tx2](https://github.com/open-horizon/cogwerx-jetson-tx2) to get started. Make sure to change the `FROM arm64v8/ubuntu:xenial-20180123` to the resin version, ie `FROM resin/%%RESIN_MACHINE_NAME%%-debian`, and add your application specific commands and start command at the bottom of your `Dockerfile.template`. I haven’t used gstreamer my self so can’t comment on that to much, however [https://developer.ridgerun.com/wiki/index.php?title=Compile\_gstreamer\_on\_tegra\_X1\_and\_X2](https://developer.ridgerun.com/wiki/index.php?title=Compile_gstreamer_on_tegra_X1_and_X2) seems to have some info on how to compile gstreamer with NV support – not sure how relevant it is, but might be worth a try