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**Code server** authentication\n  - **Jupyterlab** authentication\n  - **Hugging Face** and **CivitAI** tokens for model access (mandatory).  \n\nEnsure that the required environment variables and secrets are correctly set before running the pod.\nSee below for options.\n\n## Hardware provisioning\n\n- [Runpod.io](https://runpod.io/)\n- GPU\n\n## Software Repositories  \n\n### Core  \n\n- [Code Server](https://github.com/coder/code-server)\n- [Jupyterlab](https://jupyter.org)\n- [Jupyter Server](https://jupyter-server.readthedocs.io/en/latest/index.html)\n- [HuggingFace cli](https://huggingface.co/docs/huggingface_hub/guides/cli)\n- [Nvidia CUDA](https://hub.docker.com/r/nvidia/cuda/tags?name=12)\n- [Pytorch.org](https://pytorch.org)\n- [Triton](https://triton-lang.org/main/index.html)\n\n## Documentation\n\n- [SM architecture](https://developer.nvidia.com/cuda-gpus)\n- [Wikipedia](https://en.wikipedia.org/wiki/CUDA)\n\n## Available Images\n\n### Pytorch 2.8 CUDA 12.9\n\n```bash\ndocker pull ls250824/run-pytorch-cuda-develop:09102025\n```\n\n### Pytorch 2.9 CUDA 13.0\n\n```bash\ndocker pull ls250824/run-pytorch-cuda-develop:05112025\n```\n\n### Pytorch 2.9 CUDA 12.8\n\n```bash\ndocker pull ls250824/run-pytorch-cuda-develop:08112025\n```\n\n### Pytorch 2.10 CUDA 12.8.1\n\n```bash\ndocker pull ls250824/run-pytorch-cuda-develop:10032026\n```\n\n## Settings\n\n### Services\n\n| Service         | Port          |\n|-----------------|---------------| \n| **Code Server** | `9000` (HTTP) |\n| **Jupyterlab**  | `8888` (HTTP) |\n| **SSH/SCP**     | `22`   (TCP)  |\n| **Gradio**      | `7860` (HTTP) |\n\n### Authentication Tokens \n\n| Token        | Environment Variable |\n|--------------|----------------------|\n| Civitai      | `CIVITAI_TOKEN`      |\n| Huggingface  | `HF_TOKEN`           |\n| Code Server  | `PASSWORD`           |\n| Jupyterlab   | `JUPYTERLAB_PASS`    |\n\n### Sources\n\n| Variable         | Description                      |\n|------------------|----------------------------------|\n| `SOURCE[1-50]` | source download links (compressed or plain) |\n\n## Building the Docker Image \n\n### `build-docker.py` script options\n\n| Option         | Description                                         | Default                |\n|----------------|-----------------------------------------------------|------------------------|\n| `--username`   | Docker Hub username                                 | Current user           |\n| `--tag`        | Tag to use for the image                            | Today's date           |\n| `--latest`     | If specified, also tags and pushes as `latest`      | Not enabled by default |\n\n### Build \u0026 push Command\n\nRun the following command to clone the repository and build the image:\n\n```bash\ngit clone https://github.com/jalberty2018/run-pytorch-cuda-develop.git\ncp run-pytorch-cuda-develop/build-docker.py ..\n\nexport DOCKER_BUILDKIT=1\nexport COMPOSE_DOCKER_CLI_BUILD=1\n\npython build-docker.py \\\n--username=\u003cyour_dockerhub_username\u003e \\\n--tag=\u003ccustom_tag\u003e \\ \nrun-pytorch-cuda-develop\n```\n\nNote: If you want to push the image with the latest tag, add the --latest flag at the end.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalberty2018%2Frun-pytorch-cuda-develop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjalberty2018%2Frun-pytorch-cuda-develop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalberty2018%2Frun-pytorch-cuda-develop/lists"}