GPU Support
Known issues with GPU support.
Only CUDA-enabled NVIDIA GPU hardware is supported
Cloudera Data Science Workbench only supports CUDA-enabled NVIDIA GPU cards.
Heterogeneous GPU hardware is not supported
You must use the same GPU hardware across a single Cloudera Data Science Workbench deployment.
Known Issues with Tensorflow 2.4 and CUDA 11.2
During GPU set up, the dynamic library
libculsolver.so.10 is not read. For more information, see https://github.com/tensorflow/tensorflow/issues/44777.
Workaround: Enter the following commands when starting a
session:
!ln -s /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcusolver.so.11.0.1.105 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcusolver.so.10 !ln -s /usr/lib/x86_64-linux-gnu/libcuda.so.460.73.01 /usr/lib/x86_64-linux-gnu/libcuda.so.1
