I have CUDA compatible GPU (Nvidia GeForce 1060) in my system. While analyzing a bigger dataset, I often have to use pair plot function of the seaborn library, it consumes a lot
Not sure whether your GPU is supported but there is now (Q3 2020) options to do data manipulation on GPU using libraries such as cudf or cupy.
I am just starting down this path and from little I've seen, you will have to do some "extra" work in transferring results to a format that Seaborn can handle, but calculations with cudf (and I assume cupy) are much faster (I've seen 5x to 25x improvements so far, and read of even more extreme cases).
You will have to write a little more code though...