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.
Goodput, Not FLOPS, Measures What Frontier AI Systems Actually Deliver
Amin Vahdat, Google’s chief technologist for AI infrastructure, argues that theoretical chip speed is a poor measure of AI capacity: at large scale, failures and recovery determine how much useful work a system delivers. He calls that measure goodput, and says it should guide decisions across the infrastructure stack, from chip design and networking to power and storage. As AI workloads shift toward long-running agents, Vahdat argues, the systems supporting them must evolve beyond accelerators alone.
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.