text: Title: Regarding additional feature on Incremental SVD over available SVD_COMPRESSED method.
  Body: Hi, @hendrikmakait and other teams members,
  I am working on implementation of DeepLearning Models using SVD specifically SVD_Compressed method available in Dask using dask.array.linalg.svd_compressed especially using CuPy to compute larger SVD matrix on GPUs. But there is a problem I am facing while implementing this. While Computing SVD on larger matrix which are not possible to get loaded fully on GPU memory at a time, we require something called incremental SVD in addition to  SVD_Compressed. I know this is possible to be done and not too tough to be implemented if we already have SVD_Compressed running on GPU already. By this what I actually require to do is Distributed Streaming SVD computation on larger dataset which is available on Storage but not fully loaded  on GPU.