google-research / google-research/kubric

GPU for Blender Rendering

Open
#352 1 comment 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
2.8k
Forks
278
PR merge metrics
No merged PRs in 30d

Description

Hi, thanks for the great work on Kubric.

I built Kubric’s Blender Docker image using Blender 2.93 LTS with CUDA enabled. CUDA is detected correctly and the GPU allocates significant VRAM (~9–10 GB), but Cycles GPU rendering is extremely slow, significantly slower than CPU rendering.

This appears similar to issue [#224](https://github.com/google-research/kubric/issues/224). However, the solutions discussed there seem outdated and no longer work with modern GPUs (e.g., RTX 40-series). Hence I wanted to open a new issue.

I suspect this may be related to Blender 2.93 and the older CUDA toolchain being incompatible with newer GPUs, even though CUDA is detected.

Could you clarify:
- Whether GPU rendering with Blender 2.93 is still expected to work reliably in Kubric
- If upgrading to a newer Blender/CUDA combination is the recommended approach
- Or if there is a known supported configuration for GPU rendering

Any guidance would be greatly appreciated.
Thank you.

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the Kubric Blender Docker image configuration and the discussion in issue #224, focusing on the Blender 2.93 and CUDA versions mentioned here. Done should be a documented supported GPU-rendering configuration, or a confirmed explanation that this setup is not supported.

Written by the indexing model from the issue text.

Assessment

Tech stack
blender, docker
Domain
computer-graphics
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.