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Research & KnowledgeEvent: September 8, 2026

EAR published research on the relationship between workloads and power consumption in AI infrastructure.

Published

Signal category

Research & Knowledge

Quote

I think we're missing an important question: What are we actually producing with the MW we already have?

Angelo Stephan Souther|EAR team

Company

EAR

Energy efficient solutions for Data centers

Industry
IT Services and IT Consulting
Location
Barcelona, ES
Company size
12 employees

Power availability is the ultimate bottleneck for HPC and AI growth. EAR (Energy Aware Runtime) is a Smart Energy Management System (SEMS) that solves this in real time, unlocking higher throughput and lower costs without increasing your power budget. What We Do: Our system software dynamically balances energy consumption and application performance, delivering up to 30% higher throughput and 20% energy savings. Proven Scale: • Optimizing 21,500+ servers and 22.3+ MW of power globally • Built for enterprise data centers, supercomputing, and AI infrastructures • Spin-off of Barcelona Supercomputing Center (BSC) & Universitat Politècnica de Catalunya (UPC) More Performance per Watt. 🌐 https://www.ear.energy

Founded 2020

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