IBM and AvarSYS, Inc. today announced a collaboration using IBM’s Deep Computing Visualization (DCV) technology that can provide AvarSYS customers with visualization systems, particularly those customers migrating from Silicon Graphics Incorporated (SGI) technology. The AvarSYS solution includes visual rendering hardware and middleware from IBM, display devices from third party vendors and customized services to meet the specific needs of individual companies. The solution will help enable customers to manage and translate large amounts of data while providing collaboration tools, increased functionality, performance and flexibility at low infrastructure costs. Additionally, the solution will help users to achieve results in shorter time periods than conventional data analysis. “We believe IBM's Deep Computing Visualization offers our customers solutions backed by innovation, financial strength and stability,” said Todd Bone, CEO of AvarSYS, Inc. “At a time when our SGI customers are expressing concerns about that company's technology roadmap, we believe our heritage in providing visualization solutions will transfer well to our collaboration with IBM." IBM's DCV technology enhances the graphical user interface and enables remote access to various software applications in numerous disciplines. It provides a scalable middleware infrastructure to support and enhance the graphics function of OpenGL software applications on IntelliStation A Pro or Z Pro workstations running on the Linux operating system. High-end graphical images can be viewed in two visualization modes - Scalable Visual Networking (SVN) and Remote Visual Networking (RVN). SVN allows for larger size and higher resolution images, including immersive environments, while RVN provides remote use of the application, allowing for distance collaboration over low band-width networks. These modes help enable more accurate decisions to be made on the analysis of complex data. The collaboration between IBM and AvarSYS is designed to help capture a growing market opportunity and increased demand for visualization technology. As many organizations in a variety of industries face the challenge of interpreting massive amounts of data, they are relying on visual systems to represent large amounts of complex data in ways that are easy for engineers, scientists, or decision makers to understand. This is particularly true in high performance computing, but it also extends to many organizations whose assets exist in massive, growing data volumes. Initial focus of this collaboration will be on oil and gas exploration, life science research, financial and risk modeling, weather and environmental sciences, engineering and design, simulation systems and large research projects. “As visualization continues to become a critical technological advantage in a variety of industries, it is now being viewed as a tool for turning an organization’s data into a competitive advantage,” said David Gelardi, vice president, Deep Computing, IBM. “We are able to provide our customers with a clear roadmap of our deep computing efforts.”