NVIDIA GeForce RTX 5090

1

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

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

2

Install the latest nightly binaries with CUDA 12.8 and it will work as the Blackwell support requires CUDA >= 12.8.

3

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

4

It doesn’t work
Same error

5

The nightly binary itself works as confirmed e.g. here 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.

6

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

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
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.

7

You are still using older PyTorch builds so make sure a single binary built with CUDA 12.8 is installed.