microsoft / microsoft/TRELLIS.2
Ubuntu 24.04 with CUDA 13.1 + RTX 5090 impossible to use it
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- Python
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Description
I am trying to get it work with help from copilot but its extremely impossible level to install this on with
nvidia-smi
Wed Dec 17 22:44:48 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 590.44.01 Driver Version: 590.44.01 CUDA Version: 13.1 |
+-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 5090 On | 00000000:01:00.0 On | N/A |
| 0% 43C P0 54W / 600W | 1091MiB / 32607MiB | 3% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
Can Microsoft fix for newest cuda to install it?
At this momment I can't compile anything. I just countless see errors
raise RuntimeError(CUDA_MISMATCH_MESSAGE.format(cuda_str_version, torch.version.cuda))
RuntimeError:
The detected CUDA version (13.1) mismatches the version that was used to compile
PyTorch (12.4). Please make sure to use the same CUDA versions.
I got dual boot with win 11 + ubuntu 24.04 but both ways I am on same. I really need help.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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Research direction
No project file or test is named. Start by reading the repository's installation instructions and reproducing the reported environment on Ubuntu 24.04 with the RTX 5090, then inspect the dependency and PyTorch CUDA requirements. Done means the supported installation can compile without the reported CUDA 13.1 versus PyTorch 12.4 mismatch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch, ubuntu
- Domain
- machine-learning, operating-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100