# CUDA requirement for MONAILabel in 3D Slicer 5.0.3 stable version
**URL:** https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178
**Category:** Support
**Tags:** segmentation
**Created:** [November 10, 2022, 6:43am UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178 "2022-11-10T06:43:03Z")
**Posts on this page:** 5
**Page:** 1
### Author:  [@platanus](https://discourse.slicer.org/u/platanus)
#### Post date: [November 10, 2022, 6:43am UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178/1 "2022-11-10T06:43:03Z")
Dear 3D-Slicer members
Let me know version information by CUDA, CUDNN and tensorflow\_gpu that recommended in 3D-Slicer 5.0.3 stable version for modeling segmentation of monai label
System information of my laptop is as following.
[display]
Operating System: Windows 10 Home, 64-bit
DirectX Version: 12.0
GPU Processor: NVIDIA GeForce RTX 3070 Laptop GPU
Driver Version: 471.51
Driver Type: DCH
Direct3D feature level: 12\_1
CUDA Core: 5120
Resizable BAR Yes
Max-Q technology 3rd generation
Dynamic Boost 2.0 Yes
WhisperMode 2.0 Yes
Advanced Optimus No
Maximum graphics performance 100 W
Core clock: 1290 MHz
Memory data rate: 12.00 Gbps
Memory interface: 256-bit
Memory bandwidth: 384.06 GB/s
Total available graphics memory: 16079 MB
Dedicated video memory: 8192 MB GDDR6
System video memory: 0 MB
Shared system memory: 7887 MB
Video BIOS Version: 94.04.4F.00.19
IRQ: Not used
Bus: PCI Express x8 Gen3
Device Id: 10DE 249D 20141A58
Part number: 4735 0010
Please let me know version information by CUDA, CUDNN and tensorflow\_gpu that recommended in 3D-Slicer 5.0.3 stable version for modeling segmentation of monai label.
---
### Author:  [@rbumm](https://discourse.slicer.org/u/rbumm)
#### Post date: [November 10, 2022, 12:22pm UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178/2 "2022-11-10T12:22:17Z")
You can check the CUDA version within Slicer 5.0.3 as follows:
So on my laptop, the CUDA version is 11.3.
---
### Author:  [@platanus](https://discourse.slicer.org/u/platanus)
#### Post date: [November 14, 2022, 9:44am UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178/3 "2022-11-14T09:44:29Z")
@rbumm Thank you for answering my question.
For working 3D-Slicer 5.0.3 stable version based on windows 11 64bit OS , I installed in (my laptop) pc as following.
Python 3.9
monailabel 0.5.2
monai 1.0.1
torch 1.1.3
tensorflow-gpu 2.1.0
CUDA 11.3
CUDNN 8.6
And then using PyPi, I conducted command that is ‘python -c "import torch; print(torch.cuda.is\_available())’.
The result shows ‘False’.
I think that it can’t conduct torch (with cuda) using gpu.
What should I do for showing ‘False’ into ‘True’ in result of ‘python -c "import torch; print(torch.cuda.is\_available())’?
Please, let me know solution of above problem.
---
### Author:  [@rbumm](https://discourse.slicer.org/u/rbumm)
#### Post date: [November 14, 2022, 10:31am UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178/4 "2022-11-14T10:31:41Z")
Your laptop with an RTX 3070 GPU should definitely be ready to enable CUDA and use MONIALabel in GPU mode. We have set up a MONAILabel segmentation project during the last 3D Slicer Project week:
> **[NA-MIC Project Weeks](https://projectweek.na-mic.org/PW37_2022_Virtual/Projects/MONAILabelLung/)**
>
> Website for NA-MIC Project Weeks
On that page is a link [How To Setup MONAILabel in Windows 11](https://projectweek.na-mic.org/PW37_2022_Virtual/Projects/MONAILabelLung/MONAILabel_Installation.html) that should help you with installation. Please follow this step by step, we’ll assist if something does not work.
---
### Author:  [@platanus](https://discourse.slicer.org/u/platanus)
#### Post date: [November 14, 2022, 10:40am UTC](https://discourse.slicer.org/t/cuda-requirement-for-monailabel-in-3d-slicer-5-0-3-stable-version/26178/5 "2022-11-14T10:40:21Z")
Dear @rbumm
I solved this problem
when I installed ‘python –m torch-1.7.1-cp39-cp39-win\_amd64.whl’, the result of ‘python -c "import torch; print(torch.cuda.is\_available())’ shows ‘True’.
Thank you for helping me.