Artificial Intelligence is driving innovation across industries, but its growing energy demands pose critical challenges around cost, scalability, and sustainability. In this talk, Bhanu will share practical strategies for designing energy-efficient AI systems, focusing on: dynamic batching & KV caching for reducing inference overhead, sparse neural networks & structured pruning for lightweight models, carbon-aware scheduling to align compute with renewable energy, federated learning & edge deployments to reduce data transfer energy, and a sustainability maturity model for...
Bhanu Prakash Reddy Rella
Senior Data Engineer
Meta Platforms
Bhanu Prakash Reddy Rella is a Senior Data Engineer at Meta, specializing in large-scale data infrastructure and sustainable AI systems. With over a decade of experience spanning Meta and Walmart, he has designed and optimized high-volume data pipelines, storage frameworks, and processing systems that reduce energy consumption and computational waste. He is the co-author of Energy-Efficient Computing for Modern AI Applications (2025), which provides practical strategies such as federated learning, structured pruning, and carbon-aware scheduling for building sustainable intelligence. Currently pursuing a Doctor of Business Administration at Golden Gate University, his research focuses on embedding sustainability principles into AI testing, evaluation, and deployment frameworks. Rella has chaired IEEE sessions, judged international hackathons, and delivered keynotes on Green AI. Through his leadership of The Green AI Initiative, he advocates for aligning technological innovation with ecological responsibility.