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--- |
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tags: |
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- docker |
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- arm64 |
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- gh200 |
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- cuda |
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- mamba |
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- pytorch |
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license: mit |
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library_name: docker |
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datasets: [] |
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--- |
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# GH200 SEMamba Docker Image |
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This Docker image provides a pre-configured development environment for running [SEMamba](https://github.com/RoyChao19477/SEMamba), a mamba-based speech enhancement model, on NVIDIA GH200 hardware. It was created to save time and ensure reproducibility for ARM64/aarch64 CUDA 12.8 setups. |
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The image includes all required dependencies and configurations for Mamba-based speech enhancement research and other sequence modeling tasks. |
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> ⚠️ **Warning on Package Source** |
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> |
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> This Docker image installs `PyTorch`, `Mamba-SSM`, `triton`, `decord`, `vllm`, and `FlashAttention` from the [Jetson SBSA CUDA 12.8 index](https://pypi.jetson-ai-lab.dev/sbsa/cu128), which is a custom external package repository. |
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> |
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> While it enables compatibility with ARM64 + CUDA 12.8 setups, users should be aware that: |
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> |
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> - It is **not an official PyPI source** |
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> - Packages may have **undocumented patches or modifications** |
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> - There may be **potential security or reproducibility risks** |
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> |
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> Use with discretion, especially in sensitive or production-level environments. |
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--- |
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## Contents |
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- **OS**: Ubuntu 24.04 (ARM64) |
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- **Python**: 3.12 |
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- **CUDA**: 12.8 |
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- **PyTorch**: 2.7 |
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*(This package is installed from [Jetson SBSA CUDA 12.8 index](https://pypi.jetson-ai-lab.dev/sbsa/cu128))* |
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- **Mamba-SSM**: v2.2.4 |
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*(This package is installed from [Jetson SBSA CUDA 12.8 index](https://pypi.jetson-ai-lab.dev/sbsa/cu128))* |
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- **FlashAttention**: v2.7.4.post1 |
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*(This package is installed from [Jetson SBSA CUDA 12.8 index](https://pypi.jetson-ai-lab.dev/sbsa/cu128))* |
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- **Essential packages**: `ffmpeg`, `vim`, `htop`, `tmux`, `screen`, etc. |
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--- |
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## Usage |
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### Download Docker Image |
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```bash |
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wget https://huggingface.co/datasets/rc19477/gh200-semamba-docker/resolve/main/gh200_semamba_py312_pt27_cuda128.tar |
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``` |
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### Load Docker Image |
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```bash |
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docker load < gh200_semamba_py312_pt27_cuda128.tar |
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``` |
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### Run Container |
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```bash |
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docker run --gpus all -it -v $(pwd):/workspace gh200_semamba_py312_pt27_cuda128 |
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``` |
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This will mount your current directory into `/workspace` inside the container. |
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--- |
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## Notes |
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- This image is intended **only for GH200 (ARM64) systems** with CUDA 12.8. |
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- Python packages are installed via a custom PyPI index for ARM64 provided by Jetson AI Lab. |
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- **Do not use this image on x86 systems**; it will not work. |
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- This environment was built to support projects like SEMamba that use selective state space models. |
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--- |
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## License & Attribution |
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- This Docker image is shared for **non-commercial research purposes**. |
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- All third-party packages, including PyTorch, FlashAttention, and Mamba-SSM, retain their **original licenses**. |
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- PyTorch was installed from a community-provided index: https://pypi.jetson-ai-lab.dev |
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- Users are responsible for complying with the licenses of any included or downloaded components. |
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--- |
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## Acknowledgments |
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Thanks to the developers of: |
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- Jetson AI Lab for maintaining ARM64-compatible PyTorch wheels. |
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--- |
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## Maintainer |
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For any issues, feel free to open a discussion or contact me. |
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