# NVIDIA GeForce RTX 5090 **URL:** \ **Category:** Uncategorized\ **Created:** [April 10, 2025, 4:04pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954 "2025-04-10T16:04:34Z")\ **Posts on this page:** 11\ **Page:** 1
**Author:** ![nafe\_alhmdan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/nafe_alhmdan/32/75984_2.png) [@nafe\_alhmdan](https://discuss.pytorch.org/u/nafe_alhmdan)\ **Post date:** [April 10, 2025, 4:04pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/1 "2025-04-10T16:04:34Z")
C:\Users\USER\Desktop\RVC1006Nvidia\>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897 C:\Users\USER\Desktop\RVC1006Nvidia\runtime\lib\site-packages\torch\cuda\__init_\_.py:173: UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm\_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm\_37 sm\_50 sm\_60 sm\_61 sm\_70 sm\_75 sm\_80 sm\_86 sm\_90 compute\_37. If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at [Start Locally | PyTorch](https://pytorch.org/get-started/locally/) warnings.warn(incompatible\_device\_warn.format(device\_name, capability, " ".join(arch\_list), device\_name)) 2025-04-10 18:55:22 | INFO | configs.config | Found GPU NVIDIA GeForce RTX 5090 is\_half:True, device:cuda:0 ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 10, 2025, 4:06pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/2 "2025-04-10T16:06:14Z")
Install the latest nightly binaries with CUDA 12.8 and it will work as the Blackwell support requires CUDA \>= 12.8. ---
**Author:** ![nafe\_alhmdan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/nafe_alhmdan/32/75984_2.png) [@nafe\_alhmdan](https://discuss.pytorch.org/u/nafe_alhmdan)\ **Post date:** [April 10, 2025, 4:42pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/3 "2025-04-10T16:42:59Z")
Python 3.12.8 (tags/v3.12.8:2dc476b, Dec 3 2024, 19:30:04) [MSC v.1942 64 bit (AMD64)] on win32 Type “help”, “copyright”, “credits” or “license” for more information. > > > import torch > > > print(torch. **version** ) > > > 2.8.0.dev20250408+cu128 ---
**Author:** ![nafe\_alhmdan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/nafe_alhmdan/32/75984_2.png) [@nafe\_alhmdan](https://discuss.pytorch.org/u/nafe_alhmdan)\ **Post date:** [April 10, 2025, 4:45pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/4 "2025-04-10T16:45:21Z")
It doesn’t work Same error ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 10, 2025, 4:49pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/5 "2025-04-10T16:49:09Z")
The nightly binary itself works as confirmed e.g. [here](https://discuss.pytorch.org/t/pytorch-support-for-sm120/216099/41) so I don’t know what the issue in your setup is. The user in the linked post also claimed to have installed the right binary and later claimed: > Upgrading to the latest nightly (with `sm_120` support) resolved that so I also don’t fully understand what happened before. ---
**Author:** ![nafe\_alhmdan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/nafe_alhmdan/32/75984_2.png) [@nafe\_alhmdan](https://discuss.pytorch.org/u/nafe_alhmdan)\ **Post date:** [April 10, 2025, 5:08pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/6 "2025-04-10T17:08:02Z")
C:\Users\USER\Desktop\RVC1006Nvidia\>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897 C:\Users\USER\Desktop\RVC1006Nvidia\runtime\lib\site-packages\torch\cuda\__init_\_.py:173: UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm\_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm\_37 sm\_50 sm\_60 sm\_61 sm\_70 sm\_75 sm\_80 sm\_86 sm\_90 compute\_37. If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at [Start Locally | PyTorch](https://pytorch.org/get-started/locally/) warnings.warn(incompatible\_device\_warn.format(device\_name, capability, " ".join(arch\_list), device\_name)) 2025-04-10 20:05:22 | INFO | configs.config | Found GPU NVIDIA GeForce RTX 5090 is\_half:True, device:cuda:0 2025-04-10 20:05:24 | INFO | **main** | Use Language: en\_US Running on local URL: [http://0.0.0.0:7897](http://0.0.0.0:7897) 2025-04-10 20:05:33 | INFO | infer.modules.vc.modules | Get sid: kikiV1.pth 2025-04-10 20:05:33 | INFO | infer.modules.vc.modules | Loading: assets/weights/kikiV1.pth 2025-04-10 20:05:34 | INFO | infer.modules.vc.modules | Select index: logs\kikiV1.index 2025-04-10 20:05:44 | INFO | infer.modules.vc.pipeline | Loading rmvpe model,assets/rmvpe/rmvpe.pt C:\Users\USER\Desktop\RVC1006Nvidia\>pause Press any key to continue . . . The problem could be with the software or the 5090 card. Because when I change the card to a 4090, it works. Is there a solution? I’ve tried everything. ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 10, 2025, 5:13pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/7 "2025-04-10T17:13:44Z")
> [@nafe\_alhmdan](#): > > The current PyTorch install supports CUDA capabilities sm\_37 sm\_50 sm\_60 sm\_61 sm\_70 sm\_75 sm\_80 sm\_86 sm\_90 compute\_37. You are still using older PyTorch builds so make sure a single binary built with CUDA 12.8 is installed. ---
**Author:** ![OkYes\_Anap](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/okyes_anap/32/77328_2.png) [@OkYes\_Anap](https://discuss.pytorch.org/u/OkYes_Anap)\ **Post date:** [June 11, 2025, 11:10am UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/8 "2025-06-11T11:10:24Z")
Same issue UserWarning: NVIDIA GeForce RTX 5090 Laptop GPU with CUDA capability sm\_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm\_50 sm\_60 sm\_61 sm\_70 sm\_75 sm\_80 sm\_86 sm\_90. If you want to use the NVIDIA GeForce RTX 5090 Laptop GPU GPU with PyTorch, please check the instructions at [https://pytorch.org/get-started/locally/](https://pytorch.org/get-started/locally/) pip3 list Package Version * * * einops 0.8.1 filelock 3.18.0 flash\_attn 2.7.4.post1 fsspec 2025.5.1 Jinja2 3.1.6 MarkupSafe 3.0.2 mpmath 1.3.0 networkx 3.5 numpy 2.1.2 pillow 11.0.0 pip 25.0.1 setuptools 80.9.0 sympy 1.14.0 torch 2.7.1+cu128 torchaudio 2.7.1+cu128 torchvision 0.22.1+cu128 typing\_extensions 4.14.0 python --version Python 3.12.10 ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [June 11, 2025, 12:27pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/9 "2025-06-11T12:27:37Z")
Dame as before: make sure a single and the correct PyTorch binary is used: [NVIDIA GeForce RTX 5090 - #7 by ptrblck](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/7) ---
**Author:** ![OkYes\_Anap](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/okyes_anap/32/77328_2.png) [@OkYes\_Anap](https://discuss.pytorch.org/u/OkYes_Anap)\ **Post date:** [June 11, 2025, 1:30pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/10 "2025-06-11T13:30:27Z")
How to do this? I already showed you that I have Python and Torch installed. Well, okay, I will attach a screenshot. ![image](https://discuss.pytorch.org/uploads/default/original/3X/2/4/2480413f08600f712a95807f86a3a21075104122.png) ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [June 11, 2025, 1:31pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-5090/218954/11 "2025-06-11T13:31:31Z")
Yes, `pip list` shows the right version but does not account for other binaries found in e.g. the base env.