Amin Vahdat

Amin Vahdat is a Fellow and Chief Technologist for AI Infrastructure at Google, where he leads work spanning custom silicon, data centers, networking, supply chain, and operations for Google-scale AI systems. He previously led Google compute, storage, and networking infrastructure, and before Google was a computer science professor at UC San Diego.

Value Per Gigawatt Is Becoming AI Infrastructure’s Core Metric

Amin Vahdat, Google’s chief technologist for AI infrastructure and leader of its internal compute and TPU programs, argues in a Stanford CS153 lecture that AI infrastructure should be judged by value delivered per dollar, not by gigawatts or flops alone. With a gigawatt-scale buildout costing roughly $40 billion to $50 billion, he says the scarce discipline is building systems that are reliable enough, balanced across compute, memory and networks, procurable on multi-year timelines, and useful to customers and communities rather than merely large.

Stanford OnlineMay 27, 202619 min read