Team Idea
AI Energy is building a practical framework to measure, analyze, and reduce the energy consumption of AI hardware and software. We want to understand how much power is used by GPUs, servers, cooling systems, data centers, AI models, inference workloads, and software design choices—and identify opportunities to improve efficiency without sacrificing performance.
Our team combines AI, data, energy management, and infrastructure perspectives. We are looking for developers, AI/ML engineers, data scientists, hardware specialists, data center professionals, and sustainability or energy experts who are interested in creating tools, benchmarks, dashboards, or optimization methods that make the energy footprint of AI more transparent and actionable.
Submission
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