January 29, 2013
PALO ALTO, Calif., Jan. 29 – VMware, Inc., the global leader in virtualization and cloud infrastructure, today announced financial results for the fourth quarter and full year of 2012:
U.S. revenues for 2012 grew 22% to $2.23 billion from 2011. International revenues grew 22% to $2.38 billion from 2011.
License revenues for 2012 were $2.09 billion, an increase of 13% from 2011. Service revenues, which include software maintenance and professional services, were $2.52 billion for 2012, an increase of 31% from 2011.
Annual 2013 total revenues are expected to be in the range of $5.230 billion to $5.350 billion, an increase of approximately 14 to 16 percent from 2012, and annual license revenues are expected to grow between 8 and 11 percent.
First quarter 2013 total revenues are expected to be in the range of $1.170 billion to $1.190 billion, an increase of approximately 11 to 13 percent from the first quarter 2012.
“2012 was a strong year for VMware, with solid Q4 results despite a tough economic environment,” said Pat Gelsinger, chief executive officer, VMware. “We see a tremendous market opportunity in 2013 and beyond, as we focus on what our customers value most: VMware’s role as a pioneer of virtualization technologies that radically simplify IT infrastructure from the data center to the virtual workspace.”
Recent Highlights & Strategic Announcements
VMware plans to host a conference call today to review its fourth quarter and full year 2012 results and to discuss its financial outlook. The call is scheduled to begin at 2:00 p.m. PT/ 5:00 p.m. ET and can be accessed via the Web at http://ir.vmware.com. The webcast will be available live, and a replay will be available following completion of the live broadcast for approximately 60 days.
VMware is the leader in virtualization and cloud infrastructure solutions that enable businesses to thrive in the Cloud Era. Customers rely on VMware to help them transform the way they build, deliver and consume Information Technology resources in a manner that is evolutionary and based on their specific needs. With 2012 revenues of $4.61 billion, VMware has more than 480,000 customers and 55,000 partners.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.