[BTW: I am simply a user and not a maintainer of this repo]

Although this looks very good, I could not run it, see the extract log of the docker build
gaussian-splatting_docker.log
For information, my host is ubuntu20.04 , CUDA 11.8, driver 525.116.04, NVIDIA GeForce RTX 3080

It seems that CUDA is not available during build. Did you set nvidia as the default runtime in daemon.json as indicated?
See: NVIDIA/nvidia-docker#1033

Your host's /etc/docker/daemon.json should look like this:

{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    },
    "default-runtime": "nvidia"
}

After doing this, restart docker with sudo systemctl restart docker

Actually this was due to a missing variable, as explained in pytorch/extension-cpp#71
As I have CUDA >= 11.x, I had to add this:

ARG TORCH_CUDA_ARCH_LIST="3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX"

to the Dockerfile.
It now builds correctly and is usable. Thanks for help ;-)

Tested, works great with cuda 12

It seems that CUDA is not available during build. Did you set nvidia as the default runtime in daemon.json as indicated? See: NVIDIA/nvidia-docker#1033

Your host's /etc/docker/daemon.json should look like this:

{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    },
    "default-runtime": "nvidia"
}

After doing this, restart docker with sudo systemctl restart docker

This step still might not be enough with newer docker versions. In addition to updating the default runtime build your image with:

DOCKER_BUILDKIT=0 docker build -t gaussian_splatting .

Reference: https://stackoverflow.com/questions/59691207/docker-build-with-nvidia-runtime/75629058#75629058