Re:CUDA 11.0
by cosmie on Thursday July 09, 2020 @02:48AM
(#23777631)
For tinkering around, just use Googe Colab[1]. They offer free hosted Jupyter notebooks and have both Nvidia GPU[2] and Google TPU[3] runtime options available.
Here[4] is a notebook that shows how to install CUDA into an environment using the GPU accelerated runtime.
Only major downside is that resources aren't guaranteed (see first section under "Resource Limits" here[5]), so you sporadically may not be able to start a GPU-accelerated runtime session. But that shouldn't be much of a blocker for tinkering purposes.
Here[4] is a notebook that shows how to install CUDA into an environment using the GPU accelerated runtime.
Only major downside is that resources aren't guaranteed (see first section under "Resource Limits" here[5]), so you sporadically may not be able to start a GPU-accelerated runtime session. But that shouldn't be much of a blocker for tinkering purposes.
[1] https://colab.research.google.com/notebooks/intro.ipynb
[2] https://colab.research.google.com/notebooks/gpu.ipynb
[3] https://colab.research.google.com/notebooks/tpu.ipynb
[4] https://colab.research.google.com/github/ShimaaElabd/CUDA-GP...
[5] https://research.google.com/colaboratory/faq.html