Accelerating Research Outcomes with AI Supercomputing Infrastructure – Industrial Research Institute B
Industrial Research Institute B adopted the latest GPU clusters, Infiniband networks, and Kubernetes-based orchestration to build a high-performance computing environment. This boosted research parallel processing capability fivefold and reduced energy costs by 25%.
Challenge
Industrial Research Institute B needed a high-performance computing environment suitable for large-scale model training and simulation to strengthen research competitiveness in the AI era. The existing infrastructure could not effectively cope with increasing research complexity and data scale, and resource competition between research projects caused bottlenecks.
Solution
The institute designed and implemented a supercomputing architecture that utilizes the latest GPU clusters and high-bandwidth Infiniband networks. The institute maximized energy efficiency by integrating AI-based power optimization technology and real-time monitoring systems, and established automatic research workload distribution with Kubernetes-based HPC orchestration. From planning to deployment and operation, the institute provided a customized computing environment optimized for research-specific requirements.
Results
- 5x improvement in parallel processing capability for research projects: Maximized research productivity by increasing simultaneous projects
- 25% reduction in energy costs: Optimized operating costs with high-efficiency cooling systems and AI-based power management
- Improved research data processing speed: Accelerated analysis of large datasets with a parallel file system
- Strengthened global research collaboration environment: Increased efficiency of joint projects with domestic and international research partners