> For the complete documentation index, see [llms.txt](https://docs.readyidc.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.readyidc.com/gpu-as-a-service/linux/use-case/how-to-install-nvidia-diver-in-rocky10.md).
# How to Install Nvidia diver in Rocky10
### Prepare the system
* **OS:** Rocky10
* **GPU:** Nvidia RTX Pro 6000 blackwell Ada(96 GB)
* **Nvidia Driver**: 595.71.05
* **Cuda** **Toolkit:** 13.2
* **Docker**
### VM setting
1. ตรวจสอบว่า VM เห็น **GPU**
```
lspci | grep -i nvidia
```
> ต้องเห็น NVIDIA Corporation Device 2bb5 (RTX PRO 6000 Blackwell)
2. Nvidia Driver Installation
```
dnf install kernel-devel-matched kernel-headers
```
3. Repository Installation
* Enable the network repository:
```
dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch/cuda-$distro.repo
```
* Clean DNF repository cache:
```
dnf clean expire-cache
```
4. DNF module enablement
```
dnf module enable nvidia-driver:open-dkms
```
### Driver Installation
* Open kernel modules
```
dnf install -y nvidia-open
```
* nvidia-container-toolkit and cuda-toolkit installation
```
dnf install -y nvidia-container-toolkit
dnf install -y cuda-toolkit
reboot
```
* verify nvidia driver and contailner
> ถ้าหากไม่ขึ้น driver หรือคำสั่ง nvidia-smi ไม่สามารถใช้งานได้ ให้ทำการ reboot vm
```
nvidia-smi
docker run --gpus all --rm nvcr.io/nvidia/cuda:13.0.0-base-ubuntu24.04 nvidia-smi
```
ทดสอบกับ container [How to using vGPU with container](/gpu-as-a-service/linux/docker/using-gpu-with-container.md)
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