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Support for using cloud GPU #14
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Hi @DataTracer, thank you for the question. Unfortunately, Google Colab does not allow to host a web service offerings not related to interactive computing with Colab. I don't have any good suggestions for free GPU options. For paid options, we can set up the Did you try running the The installation is simple as below: conda create -n samapi -y python=3.10
conda activate samapi
python -m pip install git+https://github.com/ksugar/samapi.git Then you can run it with the following command. export PYTORCH_ENABLE_MPS_FALLBACK=1 # Required for running on Apple silicon
uvicorn samapi.main:app I hope it works for you. |
Thanks! Your extension works really well and I tried it on CPU but obviously not as fast :-) Best wishes |
Hi, I am using a workstation with NVIDIARTX5000 and conda install -c conda-forge -y cudatoolkit=11.7 Windows with CUDA-compatible GPU onlypython -m pip install "torch>=1.13.1,<2.0" torchvision --index-url https://download.pytorch.org/whl/cu117 Then when i am launching the server i get the following message I could be wrong but RTX 5000 is CUDA compatible ? Looking forward to your reply |
Hi @DataTracer, RTX 5000 is compatible with CUDA 11.7 according to this matrix. Could you share the output of the Example:
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Hi @ksugar , Thank you, I am trying to run the nvidia-smi command, it disappears instantly, so I am unable to share the output. On a separate note , I also posted this on image.sc but do you have any thoughts on how to use SAM annotations to train the object classifier in QuPath? Thanks a lot |
I want to use the SAM on Qupath but don't have any GPU on my computer. Would it be possible to provide access to something similar to Cloud collab
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