Do you have real insight into your data center or HPC operations? If you don't understand everything going on throughout your entire facility and energy grid, it is very difficult to be truly efficient. How does your power consumption fluctuate? Do you have hot spots? Would you know if your systems were fighting each other or short-cycling? Are you looking across disparate systems to understand your environment? You can't properly manage power demands, energy consumption, power fluctuations, or operational efficiency without understanding your data but that can be difficult with so much data everywhere. How can you see what is important through multiple systems, multiple screens, and a sea of data?
The High Performance Computing center at Lawrence Livermore National Lab (LLNL) is a large power consumer. Sequoia, one of their HPC machines and ranked number 4 on the TOP500 list of world's top supercomputers, is rated at 9.6MW peak with power swings over 4 MW. The HPC center at LLNL is concerned about the quality, cost, environmental impact, availability of electricity, and electrical grid reliability. They were wrestling with nearly a dozen systems, trying to understand the behavior, Power Utilization Efficiency (PUE), and power consumption of their assets.
View this on-demand webinar to hear from LLNL and understand how they combined disparate data sources to make sense of it all. Learn about turning raw data into actionable information to improve your Data Centers and HPC Centers. This webinar covers:
- Best practices to manage power, energy, operational assets, and various data streams
- How Lawrence Livermore National Lab is managing their Supercomputer and up to 10 MW of power (including integration with their local utility)
- Ways to reduce costs and energy consumption while improving Data Center and HPC Center operations
- How to monitor PUE (and even better methodologies)
- How to aggregate data into a single source and correlate events from these sources