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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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+
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+ ---
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+
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+ ## Contents
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+
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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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+ - **Mamba-SSM**: v2.2.4
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+ - **FlashAttention**: v2.7.4.post1
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+ *(Pytorch, Mamba-ssm, and flash-attn are all 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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+ ---
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+
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+ ## Usage
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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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+
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+ ### Run Container
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+
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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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+ ---
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+
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+ ## Notes
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+
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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 modern state space models.
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+
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+ ---
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+
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+ ## License & Attribution
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+
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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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+ ---
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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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+ ---
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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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+