RTX4070 MaxQ Ubuntu 22.04
lspci | grep -i nvidia
sudo apt-get purge nvidia*
sudo apt-get autoremove
sudo apt-get install linux-headers-$(uname -r)
sudo apt install --only-upgrade ubuntu-drivers-common
sudo ubuntu-drivers autoinstall
sudo apt install nvidia-cuda-toolkit
재부팅
$ nvidia-smi
Fri Nov 29 03:07:20 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.120 Driver Version: 550.120 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| 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 4070 ... Off | 00000000:01:00.0 Off | N/A |
| N/A 48C P8 3W / 115W | 9MiB / 8188MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1354 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------------------+
docker 설치
sudo apt install docker.io
sudo apt install docker-buildx
sudo chmod 666 /var/run/docker.sock
nvidia-docker2 설치
## GPG 키와 저장소 추가!
sudo apt install curl
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
# 마지막으로 다시 업데이트!
sudo apt-get update
# nvidia-docker2 설치
sudo apt-get install -y nvidia-docker2
테스트용 도커 명령어
## Test!
docker run --rm --gpus all ubuntu:18.04 nvidia-smi