FEATURES & COMMENTARY
Toronto, CANADA — Distributed Science, Inc. announced that its ProcessTree network now has in excess of 100,000 computers signed up, ready to work on paid projects.
“As the first commercial distributed computing network we reached this milestone that puts us far ahead of any competitor,” said Jim Albea, the founder of the ProcessTree network and COO of Distributed Science. “Our network has a processing power three times the capacity of ASCI White, the world’s most powerful supercomputer installation.”
Enabling massive computing projects like aerospace research, thermodynamic simulations or movie rendering across the internet, the ProcessTree network gathered over 50,000 individual suppliers in less than six months. The number of 100,000 machines available to paid projects puts the network in the exclusive range of efforts previously reserved to long running non-profit projects like [email protected]@Home.
“We’re excited to offer large amounts of processing power to customers that will greatly reduce development cycles and costs,” said Steve Porter, CEO of Distributed Science, Inc. “This vision of inexpensive and almost limitless computing power is a reality with our network, powered by our suppliers. It is available now to important purposes like pharmaceutical research.”
Distributed Science is offering computational development solutions at greatly reduced cost compared to traditional supercomputers. Eliminating large up-front investments and maintenance costs, customers get only what they really want: vast amounts of processing power at their fingertips. Offering complete computing services across the Internet and individualized software solutions for the corporate Intranet, Distributed Science is spearheading this emerging industry.
The ProcessTree software enables the processing of massive computing projects previously deemed too expensive or impossible to engage. It uses the idle processor time from thousands of ordinary personal computers owned by individuals around the world. ProcessTree buys the computing time from suppliers with micropayments that are redeemable through various payment options. Custom versions of the software can be licensed for use on corporate intranets, especially for use with algorithms or data that are deemed too sensitive for public exposure.