Yeah, I tend to use modified hdf5 tools for data that big.
pandas.read_hdf has beaten out ray.dataframe.read_csv in terms of speed on the few files I've just initially tested now. But I imagine the programmable flexibility csvs have over hdfs (I've never used a Unix command to edit a hdf for example) is why this new approach could get some traction.