Tamar Eilam’s vision for a greener AI at IBM

Tamar Eilam, a leading scientist at IBM, is pushing boundaries in sustainable computing. With 24 years at the company, she serves as an IBM fellow and chief scientist for sustainable computing, tackling one of AI’s most pressing challenges its immense energy consumption. Eilam’s work includes spearheading projects like Kepler, an open-source tool that quantifies the energy usage of applications, helping teams adopt greener AI practices.

AI’s energy demands are staggering, with reports showing that a single ChatGPT search consumes ten times more electricity than a typical Google search. Eilam envisions AI as a double-edged sword—capable of aiding sustainability efforts like decarbonising power grids while also requiring extensive resources to function. To address these issues, her team focuses on efficient AI training methods, high-quality data use, and platform optimisations to reduce resource drain.

Eilam advocates for transparency and trust in AI development. IBM’s approach ensures energy-efficient models, like its Granite line, while addressing intellectual property concerns with verifiable data sources. She also highlights the need for startups and companies to prioritise openness about energy impacts and guardrails to prevent misuse.

Beyond technical achievements, Eilam is a vocal advocate for gender diversity in AI. She emphasises breaking unconscious biases and encourages women to persist in leadership roles. Her passion for merging climate solutions with cutting-edge technology continues to shape sustainable computing innovations.