Add portable CUDA 11.8 Docker environment for SLAM-LLM#248
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Tested on multi-GPU ASR finetuning workflows with CUDA 11.8 and DeepSpeed 0.14.5. This setup was created to improve reproducibility across institutional GPU servers where sudo access and CUDA toolkit installation are restricted. |
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Summary
Adds a portable and reproducible CUDA 11.8 Docker environment for SLAM-LLM research workflows.
This setup is designed to reduce environment-related failures across institutional GPU servers and research clusters.
Includes
Motivation
Many users encounter:
nvcc)This Docker setup aims to provide a reproducible and portable environment across servers.
Notes
The image still requires:
--gpus all)GPU kernel drivers cannot be packaged inside Docker.