Green AI in Cloud Native Ecosystems: Strategies for Sustainability... Vincent Caldeira & Tamar Eilam
Vincent Caldeira, Tamar Eilam
KubeCon + CloudNativeCon Europe 2025 · Session
In an era defined by the explosive growth of artificial intelligence, the environmental impact of AI systems has emerged as a critical concern. This talk, delivered by Vincent Caldeira of Red Hat and Tamar Eilam of IBM Research at KubeCon EU, addresses the burgeoning **AI sustainability crisis** and presents comprehensive strategies for achieving **Green AI** within cloud-native ecosystems. The speakers meticulously dissect the energy consumption patterns of modern AI, highlighting the disproportionate impact of **AI inference** and proposing a multi-faceted approach to optimize resource utilization across the entire machine learning lifecycle.
AI review
This KubeCon talk from Red Hat and IBM Research cuts through the "AI for good" hype to confront the very real, very pressing "AI sustainability crisis." Caldeira and Eilam don't just wave their hands; they dive deep into the technical weeds, pinpointing AI inference as the primary energy sink and laying out a coherent, platform-level strategy for dramatic optimizations. They back it up with concrete figures, emerging regulations like the EU AI Act, and actual open-source projects. This isn't just about saving the planet; it's about saving budgets and ensuring future compliance.