What 11 supercomputers reveal about AI water consumption
Water and energy efficiency cannot sensibly be optimised in isolation from one another; facility operators need to weigh both together
Credit: LLNL
A landmark study by the Energy Efficient HPC Working Group examines how cooling architecture, rather than location, drives water usage across top supercomputing sites
Register for FREE to keep reading
Join 12,000+ scientists, engineers, and IT professionals driving innovation through informatics, HPC, and simulation with:
- Insights into HPC, AI, lab informatics & data
- Curated content for life sciences, engineering & academia
- Access to Breakthroughs: real-world computing success
- Free reports & panels, including the Lab Informatics Guide
- White Papers & software updates for smarter research
Sign up now
Already a member? Log in here
Your data is protected under our privacy policy.
