About the Author
Vijay Janapa Reddi is the Gordon McKay Professor of Electrical and Computer Engineering at Harvard University. His work sits at the boundary of computer architecture, runtime systems, edge computing, and machine learning systems, with a recurring focus on how measurements, benchmarks, and shared artifacts turn systems ideas into practice. As a co-founder of MLCommons and one of the architects of the MLPerf benchmarks, he has helped make machine-learning performance a measurable, reproducible engineering claim. Architecture 2.0 grows from a conviction that runs through that work. Good engineering is not about which tools or methods you use but about how well you build, holding efficiency, safety, robustness, and reliability to evidence rather than to assertion. This book carries that discipline into the AI-assisted era.