(NYSE: RAX) COO Mark Roenigk today unveiled plans by the San Antonio-based open cloud company to support and partner with Open Compute suppliers that provide open source datacenter solutions.
Rackspace launched the industry’s first OpenStack powered cloud platform of compute, storage and networking in 2012.
“Rackspace will support those companies and organizations that share our vision for an open cloud,” said Roenigk. “Rackspace is committed to supporting like-minded companies who are dedicated to open standards and breaking down the engineering barriers that lock users into proprietary technologies.”
Rackspace COO and Open Compute Foundation board member Roenigk delivered his remarks today during his keynote address at the Open Compute Summit in Santa Clara, CA.
Rackspace has contributed a server design to the Open Compute Project community and expects to announce plans later this year to purchase servers from Open Compute Project suppliers for one of the company’s new data centers.
“Open Compute Project members like Rackspace are breaking down the barriers for open cloud adoption,” said Frank Frankovsky, Chairman of the Open Compute Foundation Chairman and Vice President of Hardware Design & Supply Chain at Facebook. “Today’s announcement by Rackspace shows the progress that the Open Compute Project is making in advancing open source infrastructure technologies.”
Rackspace is a founding member of
the Open Compute Project
and has worked closely with technology leaders who share a common vision for the future around open standards. As a founder of OpenStack, Rackspace’s work with the Open Compute Project aligns with this vision.
The Open Compute Project is a rapidly growing community of engineers around the world whose mission is to design and enable the use of the most efficient server, storage and data center hardware designs for scalable computing. Open Compute members believe that openly sharing ideas, specifications and other intellectual property is the key to maximizing innovation and reducing operational complexity in the scalable computing space.