Recommended Configurations
Most Proven Configuration
Code:
Proxmox Kernel 6.14 / 6.17
NVIDIA Driver 575.57.08
CUDA 12.9.1Works well with:
- GTX 1060 / 1070 / 1080
- Quadro P4000 / P5000
- Tesla V100
New Configuration (Kernel 7.x)
Code:
Proxmox Kernel 7.x
NVIDIA Driver 580.159.04
CUDA 13.xReported working with:
- Tesla V100
- Various Volta-based GPUs
Kernel 7.x support is still evolving for older Pascal cards. If stability is your top priority, stay on Kernel 6.x.
HOST INSTALLATION
Install build tools:
Code:
apt update
apt install -y build-essential dkms pve-headers-$(uname -r)Download NVIDIA driver:
575 branch:
Code:
wget https://us.download.nvidia.com/tesla/575.57.08/NVIDIA-Linux-x86_64-575.57.08.run580 branch:
Code:
wget https://us.download.nvidia.com/tesla/580.159.04/NVIDIA-Linux-x86_64-580.159.04.runMake executable:
Code:
chmod +x NVIDIA-Linux-x86_64-580.159.04.runInstall:
Code:
./NVIDIA-Linux-x86_64-580.159.04.runInstaller recommendations:
- YES to DKMS
- NO to OpenGL libraries (headless server)
Reboot:
Verify:
LXC GPU PASSTHROUGH
Edit container config:
Add:
Code:
lxc.cgroup2.devices.allow: c 195:* rwm
lxc.cgroup2.devices.allow: c 509:* rwm
lxc.cgroup2.devices.allow: c 511:* rwm
lxc.mount.entry: /dev/nvidia0 dev/nvidia0 none bind,optional,create=file
lxc.mount.entry: /dev/nvidiactl dev/nvidiactl none bind,optional,create=file
lxc.mount.entry: /dev/nvidia-modeset dev/nvidia-modeset none bind,optional,create=file
lxc.mount.entry: /dev/nvidia-uvm dev/nvidia-uvm none bind,optional,create=file
lxc.mount.entry: /dev/nvidia-uvm-tools dev/nvidia-uvm-tools none bind,optional,create=fileRestart:
MULTIPLE GPU SETUPS
Check GPU numbering:
Example:
Code:
GPU 0: Tesla V100
GPU 1: Quadro P4000
GPU 2: GTX 1060Pass only a specific GPU:
Code:
lxc.mount.entry: /dev/nvidia1 dev/nvidia1 none bind,optional,create=filePass multiple GPUs:
Code:
lxc.mount.entry: /dev/nvidia0 dev/nvidia0 none bind,optional,create=file
lxc.mount.entry: /dev/nvidia2 dev/nvidia2 none bind,optional,create=fileLimit CUDA visibility:
Code:
export CUDA_VISIBLE_DEVICES=0or
Code:
export CUDA_VISIBLE_DEVICES=0,1INSIDE THE CONTAINER
Download the same driver version as the host.
Example:
Code:
wget https://us.download.nvidia.com/tesla/580.159.04/NVIDIA-Linux-x86_64-580.159.04.runInstall userspace libraries only:
Code:
chmod +x NVIDIA-Linux-x86_64-580.159.04.run
./NVIDIA-Linux-x86_64-580.159.04.run --no-kernel-moduleVerify:
OPTIONAL CUDA INSTALLATION
CUDA 12.9.1 (575 branch):
Code:
wget https://developer.download.nvidia.com/compute/cuda/12.9.1/local_installers/cuda_12.9.1_575.57.08_linux.runInstall:
Code:
chmod +x cuda_12.9.1_575.57.08_linux.run
./cuda_12.9.1_575.57.08_linux.runSkip driver installation during CUDA setup.
CURRENT RECOMMENDATION
For Tesla V100:
For mixed environments (GTX 1060 + P4000 + V100):
Code:
Kernel 6.14/6.17 + 575.57.08until broader Kernel 7.x compatibility is consistently confirmed across Pascal GPUs.
Last edited: