SEATTLE — For PGS, an oil-imaging company in Oslo, Norway, finding pockets of oil and natural gas in the ground essentially starts by taking a large ultrasound picture of Earth.
"It involves huge amounts of data," said Guillaume Cambois, PGS' executive vice president of imaging and engineering. "And, of course, time is of the essence."
PGS, short for Petroleum Geo-Services, this year tried to speed up that work by buying a supercomputer built by Seattle-based Cray. The computer, housed in several pantrylike cabinets, takes PGS' massive library of images and data, and applies algorithms to get crystal-clear pictures that speed the complex task of finding oil.
PGS is one of the several businesses that have been buying Cray's supercomputers, a shift for a company that has traditionally sold to government agencies and academic institutions. Cray said 15 percent of its revenue last year, expected to fall between $720 million and $725 million, came from sales to businesses. That's double the percentage from 2014.
Cray's shift comes at a time when demand for cloud computing — which allows businesses access to greatly expanded computing power — is rising as corporate big-data needs increase. But demand for supercomputers is also strong; the massive pieces of technology do some things that the cloud just can't.
Cray isn't alone in this. At IBM, sales grew last year for just one of its more than a dozen lines of business, according to estimates by investment bank UBS. That would be mainframes, the giant computers with tons of processing power that Big Blue has been selling for decades. Sales by IBM's System Z unit soared 30 percent, to $2.8 billion, UBS estimates.
Market-research firm IDC says sales of high-performance computers reached $10.22 billion in 2014 and estimates the market will grow 8.6 percent a year in the following five years, topping $15 billion in 2019.
The uptick in sales of giant computers by Cray, IBM and others bucks decades of struggles to compete with smaller computers and the cloud. It's also a reminder that established technologies sometimes show surprising staying power in the face of rapid change.