Hi Numpy dev community, I'm keyvis, a statistical data scientist.
I'm currently using numpy in python 3.8.2 64-bit for a clustering problem, on a machine with 1.9 TB RAM. When I try using np.zeros to create a 600,000 by 600,000 matrix of dtype=np.float32 it says "Unable to allocate 1.31 TiB for an array with shape (600000, 600000) and data type float32" I used psutils to determine how much RAM python thinks it has access to and it return with 1.8 TB approx. Is there some way I can fix numpy to create these large arrays? Thanks for your time and consideration
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