I guess that speaks about the scale at which they are operating in Google Cloud. Diane Green mentioned in a recent conference that one of their healthcare customers collect about 2 PB / user. Lot of companies struggle with managing / extracting value from data. Thats where the bottle neck is usually. If they have capability to handle more data, overtime their services evolve to collect, store and process more data. Once Big Data became reality, many companies started collecting orders of magnitude more data. With Google Cloud its easy to handle petabytes of data. That enables large scale computing companies on Google Cloud. (Think of driverless cars / genomics / large scale machine learning / social networks / ... )
That seems a bit too much storage, considering that Seagate only shipped around ~ 250 Exabytes worth of HDD in 2015[1]. Being extremely generous for world supply of Hard drive, we might have had only 1000 Exabytes of storage shipped in a year.
Assuming 2 Petabyte per user, mere 500,000 user will consume entire storage produced every year. May be they do, but 2 PB/user seems improbable. That's also $14k per person of data (assuming no discount from Google to this company).
Lets not assume that Google buys storage from Seagate. Google makes its own hardware for many things (networking, TensorFlow custom ASIC). Also I don't think that have that many number of customers.
