I am new to KNIME. So far doing all my business work in Alteryx.
I have an Lenovo workstation a working copy of Knime 4.4 installed.
'Am trying to enable the CUDA framework to leverage GPU calculation capacity.
I ahve installed the latest nVidia driver and the latest CUDA version 11.x
The KNIME console states the following.
DL4JPluginActivator No compatible CUDA version seems to be installed on the system! Supported versions are: GPU CUDA Toolkit 7.5 and GPU CUDA Toolkit 8.0
Unfortunately I don’t want to roll back to an outdated CUDA version.
I’m afraid our Deeplearning4J integration only works with the mentioned older CUDA version.
However, we have a Keras integration (KNIME Deep Learning - Keras Integration) that might also fit your needs. That works with a newer CUDA version. Alternatively, at least under Linux, it is possible to install different CUDA versions side by side, so that you can continue working with the current version outside of the DL4J environment.