For multi-GPU systems, you can consume all GPU resources by placing the following code in the main method of your application:

CudaEnvironment.getInstance().getConfiguration().allowMultiGPU(true);

This is a temporary workaround for initializing the ND4J backend in the case of multi-GPU hardware. In this way, we will not be limited to only a few GPU resources if more are available.