# Nvidia DGX Spark Software Setup for Sionna

**URL:** <https://forums.developer.nvidia.com/t/nvidia-dgx-spark-software-setup-for-sionna/360883>\
**Category:** DGX Spark / GB10\
**Created:** [February 17, 2026, 2:36pm UTC](https://forums.developer.nvidia.com/t/nvidia-dgx-spark-software-setup-for-sionna/360883 "2026-02-17T14:36:41Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![alai](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@alai](https://forums.developer.nvidia.com/u/alai)\
**Post date:** [February 17, 2026, 2:36pm UTC](https://forums.developer.nvidia.com/t/nvidia-dgx-spark-software-setup-for-sionna/360883/1 "2026-02-17T14:36:41Z")

</div>

We have recently purchased an Nvidia DGX Spark for some simulation work with Sionna and eventually Aerial integration. We have been running into software version issues between CUDA/Tensorflow/Mitsuba/Sionna. We found some discussion on sionna-rk tutorials, however there was no explicit docker image for simulation. We have had some success combining different custom versions, although we are unable to use graph compiled code (specifically decorated tf.functions). It seems to be an issue of versioning between cuda, tensorflow, and ptxas that does not arise on our existing systems.

We were wondering if there is a recommended docker or setup process for the DGX Spark? I believe there have been a few demonstrations using Sionna with the Spark so I assume there is a workflow that resolves the issues.

---

<div class="post-metadata">

**Author:** ![raphael.amorim](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/raphael.amorim/32/446733_2.png) [@raphael.amorim](https://forums.developer.nvidia.com/u/raphael.amorim)\
**Post date:** [February 19, 2026, 4:45am UTC](https://forums.developer.nvidia.com/t/nvidia-dgx-spark-software-setup-for-sionna/360883/2 "2026-02-19T04:45:51Z")

</div>

AI-Aerial not supported yet.

> **[Dependencies & Tools — NVIDIA DGX Spark Porting Guide](https://docs.nvidia.com/dgx/dgx-spark-porting-guide/porting/dependencies.html)**

Check the following links:

[AI-RAN on DGX Spark](https://forums.developer.nvidia.com/t/ai-ran-on-dgx-spark/354502)

> [@](#):
>
> Unfortunately, Tensorflow is no longer supported by NVIDIA and containers before 25.08 do not have official support for GB10 sm\_121 hardware

> [@](#):
>
> NVIDIA optimized Tensorflow has reached EOL: [End of Life Notices — NVIDIA AI Enterprise Notices](https://docs.nvidia.com/ai-enterprise/notices/latest/eol-notices.html)

---

<div class="post-metadata">

**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [March 5, 2026, 4:46am UTC](https://forums.developer.nvidia.com/t/nvidia-dgx-spark-software-setup-for-sionna/360883/3 "2026-03-05T04:46:00Z")

</div>

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.