sci-blender/bpy-solara · Apply for community grant: Personal project (gpu)

Hi there!👋
Recently, Blender made its render engine available as a pip-installable Python package.
I've used this package to make some scientific visualizations, which you can find in the screenshots below.
There's great interest from the scientific community in this open-source project, and that's why I made a demo where people can make their own visualizations without the barrier to install any software.

I already have one space with a GPU access here that is running with gradio.
Now, I want to compare that space with this space, which uses another framework called Solara that is running in a docker container.
I want to compare which framework is better suited for hosting these visualizations.

Therefore, I want to ask: Would it be possible to provide additional CPU and GPU resources to enable fast rendering in this space?
Best, Hendrik