Platform has been aggressive in delivering leading edge solutions to both the commercial and public sectors for 16 years. The company's strategy is to offer the entire suite of HPC management software that enables organisations to improve time-to-results and reduce computing costs. The Platform Academic HPC product bundle consists of Platform LSF, Platform MPI, Platform RTM, Platform LSF MultiCluster, Platform Management Console and 24x7 technical support. This unparalleled offering is being made to a community where a predominance of open source software is used. Platform's objective is to deliver superior technology and commercial support to educational institutions at prices they can afford.

"These high value commercial products are now available for the academic world at an attractive price point. It is now even easier for universities and research labs to improve the performance of their HPC systems while controlling costs and reducing the time to results", stated William Lu, Market Director, Government and Education, Platform Computing. "Platform is responding to requests from its customers whose HPC requirements are becoming more sophisticated and require solutions that are offered of commercial quality."

Many of the world's leading universities and research institutions depend on Platform to deliver results. Harvard University Medical School's Biomed HPC programme utilizes a grid of over 700 processor cores to process genome data, image sequencing, and simulations coming into the university's Grid, sorting and analysing data from 21 participating medical institutions and hospitals in the Boston area. By utilizing Platform LSF, Harvard is able to manage this heterogeneous shared IT environment, giving researchers access to the necessary compute resources and allowing them to focus on their work, rather than managing their IT systems.

"Harvard could not process the amount of data flowing in and out of our HPC environment without the use of Platform LSF", stated Marcos Athanasoulis, Dr. PH, Director Information Technology, Harvard Medical School. "Efficiency and speed are among Harvard’s chief concerns when processing the amount of data running through our Grid. With Biomed HPC expecting double digit growth for the foreseeable future, the importance of solutions from Platform Computing will increase dramatically as we continue to rely on robust job schedulers and work flow tools."