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README.md
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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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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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> This Docker image installs `PyTorch`, `Mamba-SSM`, 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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> While it enables compatibility with ARM64 + CUDA 12.8 setups, users should be aware that:
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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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> Use with discretion, especially in sensitive or production-level environments.
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