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At Rackspace, we believe that open source communities enable innovation and collaboration. That is why we founded OpenStack four years back and why we actively engage in the Open Compute Project as well. OnMetal is built on OpenStack software and Open Compute hardware. Listen to what the OnMetal team has to say about why we chose such a design.
Is more better? Not always, but when it comes to more industry leaders contributing to the CloudU Big Data Massive Open Online Course (MOOC); more is definitely better. As CloudU continues to extend its reach beyond its online presence, the program will sponsor the first ever Open BigCloud and Open Compute Project (OCP) Workshop at The University of Texas in San Antonio (UTSA). The event will take place Wednesday, May 7 and Thursday, May 8 on the UTSA campus.
It feels like yesterday that Frank Frankovsky, vice president of Hardware Design at Facebook and chairman of the Open Compute Project (OCP), sent me a Facebook message  - how fitting – about a budding open hardware project that he was working on. At Rackspace, we immediately jumped at the chance to be among the first companies to join the community, as we believed Open Compute was poised to flip the hardware model much like we did with cloud software when we founded OpenStack.
The mood in San Jose vacillated between quiet and congratulatory as participants in the fifth Open Compute Summit shared both their plans and their successes in front of a crowd of 3,800 registered attendees, up 90 percent from the 2,000 who registered last year.
The Open Compute Project (OCP) this week established North America’s first Open Compute Certification and Solution Laboratory at the University of Texas at San Antonio (UTSA).
With a mission-based focus on scientific research, universities and research institutes have long been at the forefront of technology innovation that embraces open standards and ease of collaboration. By nature, the academy well understands that when hundreds of researchers contribute to a shared purpose and solve a shared problem in open and transparent ways, everyone benefits. The pace of innovation is accelerated and the diversity of solutions and approaches ensures that good solutions persist and not so good ones are quickly identified. Some might argue that the relative success of open-sourced platforms suggests that proprietary technologies often preclude necessary innovation. The growth of cloud has further challenged both researchers and industry. The scale economies of cloud-based solutions brings with it attendant challenges for the research community – beginning with the question of how to scale a conversation that brings both sides of an open community together to ensure that the full benefits of the cloud can be realized.
With OpenStack, we already have the open source software to run your data center. Now, we’re building the open source hardware to run it on. The Open Compute Project is a collaborative community of designers, consumers and innovators focused on building more efficient servers, storage and data center hardware designs for scalable computing at a lower cost.
Great things happen over drinks – big ideas are hatched and celebrations are had. But it’s not always easy to get everyone together to say “cheers.”
When Open Compute Foundation’s COO Cole Crawford gave a presentation at the OpenStack Summit in San Diego six months ago, he asked how many people in the audience had heard of his project. Only three hands went up. Fast forward, six months later, in Portland, he asked the same question and most people raised their hands. Like OpenStack itself, Open Compute is gaining interest.
Academic and scientific research often involves the construction of mathematical and numerical models to solve scientific and engineering problems. Traditionally, these complex and intensive computational models have been implemented on super computers or high-performance computing (HPC) infrastructure.  These models are difficult to setup and operate, and can create a painful experience for researchers who often have to wait in a long line to use their university’s super computing infrastructure, whether it’s for a few hours or a few days.
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