Upgrade Cuda On Sagemaker Studio Notebooks

As of March 2024, Sagemaker studio notebooks use conda-forge and come pre-installed with CUDA 11.2 which was released in 2020. While AWS may think that CUDA 11.2 is all we need, most of the newer features in LoRA, QLoRA, and other quantization-based libraries like accelerate and bitsandbytes don’t run on it. To top it off, Sagemaker makes it super-confusing and mind-numbingly silly to make any changes via conda. After multiple hair-pulling hours, I was able to get the notebooks to use CUDA 11.8 using the following bash snippet. Good luck.


pip uninstall torch
pip uninstall torch # yes, you need to run it twice
pip uninstall torchvision
conda remove pytorch-gpu
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-11.8/lib64/

Check the build version, it should now have cu118 within it.

sagemaker-user@default:~$ conda list | grep torch
pytorch-lightning         2.0.9              pyhd8ed1ab_0    conda-forge
pytorch-metric-learning   1.7.3              pyhd8ed1ab_0    conda-forge
torch                     2.2.1+cu118              pypi_0    pypi
torchaudio                2.2.1+cu118              pypi_0    pypi
torchmetrics              1.0.3              pyhd8ed1ab_0    conda-forge
torchvision               0.17.1+cu118             pypi_0    pypi