QLogic helps academic research organizations such as Penn State University, Stanford University, MIT, and Virginia Tech to create more productive programs in areas including biochemistry, engineering, geosciences, computational finance, and physics research.

Universities and research institutions are often the driving force behind technological and scientific developments that eventually achieve commercial adoption. In many cases, budget constraints and insufficient access to computational power are the only limitations to these inspired advances.

QLogic cluster computing interconnect solutions can be used to overcome academic computing limitations and dramatically improve the performance of compute-intensive research in areas like life sciences, chemical engineering, geosciences, atmospheric/air quality, acoustic modeling, computational finance, and applications utilizing high performance graphics.

QLogic products can be used to create shared computing grids leveraging the power of resources across departments or even campus-wide. Researchers gain access to teraflops of computing power at costs dramatically below those of other high-performance alternatives.

Expand Scope of Research and Analysis

With QLogic solutions, greater amounts of data can be processed, modeled, and analyzed to increase accuracy and precision of results.

Minimize Project Timelines

Access to increased teraflops of processing power will significantly reduce the time it takes to perform compute-intensive academic research.

Reduce or Eliminate Costs

Universities and research institutions can easily stay within budget and have access to significantly more computing power by using their existing assets more efficiently. QLogic product solutions are designed for low-cost, multi-user resource sharing.