Academic and research institutions around the world have long been at the forefront of defining and embracing advanced computing methodologies such as high performance computing, big data analytics, and cloud. Often collaborating with government entities, industry consortiums, or both, these institutions are leveraging highly sophisticated, clustered IT infrastructures -- including many of the world’s largest supercomputing facilities -- to address a wide range of important research inquiries.
The challenge: Meeting advanced IT needs with lean resources
Deploying and managing high performance IT infrastructure poses special challenges in the academic and research communities. Budget and staffing tend to be lean and highly fluid, while demand for compute time and resources grows insatiably. In many organizations, the same individuals or teams who are conducting advanced computational research or data analysis are also responsible for deploying and managing the underlying clustered or cloud-based infrastructure. Even if centralized IT resources are available to support research teams, these also are typically stretched in terms of budget, staff, and skills. Straddling so many requirements on such lean budgets can tax even the most brilliant research teams.
- Damian Doyle, Director of Enterprise Infrastructure and Support, University of Maryland, Baltimore County
Focus on the research, not the underlying IT
For these reasons, academic and research teams worldwide have long turned to Bright Computing as their trusted vendor for high performance IT infrastructure management. Bright’s affordability, ease of use, and exceptional technical support are cited by academic and research users as key differentiators. Whether spinning up a high performance computing cluster to perform rigorous computations, implementing Apache Hadoop or Spark to analyze large data sets, or adopting private or public cloud to utilize resources more effectively, these users rely on Bright to deploy and manage the underlying infrastructure.
With Bright, academics and researchers can focus on critical research initiatives, confident that the underlying IT infrastructure will perform reliably.