The prototype named simple "the Machine" uses a new approach to computer architecture which the company says can be adapted for a range of Big Data applications, handling tasks at thousands of times the speed of existing devices.

The new system is called "memory driven computing" and uses light waves to transmit data instead of electrical impulses traveling over silicon, bypassing what engineers say is an obstacle to boosting computing speeds.

Sharad Singhal, who heads machine applications for HPE, said previous efforts to boost computing power "were running into a brick wall into computation" because computing needs are increasing beyond the capacity of existing chips.

Singhal said the project is an effort "to rethink computers from the ground up."

This means instead of a silicon chip at the heart of the computer, "we are putting data at the center," the researcher said.

The prototype unveiled contains 160 terabytes of memory, capable of simultaneously working  with the contents of approximately 160 million books, a task never before possible in a single unit.

This file photo taken on July 7, 2016 shows Meg Whitman, chief executive officer of Hewlett Packard (HP), attending the annual Allen & Company Sun Valley Conference, in Sun Valley, Idaho. Researchers from Hewlett-Packard Enterprise on May 16, 2017 unveiled what they claimed was a breakthrough in computing with a new machine capable of handling vast amounts of data at supercomputing speeds.The prototype named simple "the Machine" uses a new approach to computer architecture which the company says can be adapted for a range of Big Data applications, handling tasks at thousands of times the speed of existing devices."The secrets to the next great scientific breakthrough, industry-changing innovation, or life-altering technology hide in plain sight behind the mountains of data we create every day," said Meg Whitman, chief executive of HP Enterprise.(GETTY IMAGES NORTH AMERICA / AFP/Drew Angerer)

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Singhal said supercomputers accomplish this task by stringing together clusters of processors, but that the new machine can handle this more efficiently within a single unit.

HPE unveiled its first prototype last year, but in the current version has increased the number of computing nodes from two to 40. Singhal said the company hopes to be able to commercialize the machine within a few years.

He said one area where this can be useful is in health care, where powerful computing can analyze health studies, genetics and the potential for personalizing medical treatment. 

"These kinds of things can be done a lot faster on the architecture we are talking about," he said. "The research still needs to be done. But for the people working in those areas, we are giving them a more efficient tool."

He said this approach can help shorten the time in which medicines are developed by better analysis of their effectiveness and side effects.

"The secrets to the next great scientific breakthrough, industry-changing innovation, or life-altering technology hide in plain sight behind the mountains of data we create every day,” said Meg Whitman, chief executive of HP Enterprise.

"To realize this promise, we can’t rely on the technologies of the past, we need a computer built for the Big Data era."

HPE, based in Palo Alto, California, was the created in November 2015 from the breakup of computing giant Hewlett-Packard into consumer and business units.