Amin Vahdat
Showing 1–3 of 3 transcripts.
- RAISE Summit29 min
The Physics of Thought & Architecture of Intelligence | Amin Vahdat, Google | RAISE Summit 2026
The speaker characterizes the current epoch as the dawn of an "intelligence era" where unbounded human ambition and the Jevons Paradox will drive exponential demand for cognitive computing power, surpassing the historical pace of the Industrial Revolution. To meet this surging need, Google is leveraging specialized hardware like the eighth-generation TPU and adopting a relaxed reliability model to enable agentic computing swarms that coordinate autonomous tasks at unprecedented scale. This technological shift is already accelerating scientific breakthroughs, such as rapid protein folding prediction, while necessitating responsible management of the economic turbulence inherent in this transition.
- Stanford Online1h 4m
Stanford CS153 Frontier Systems | The Discipline of Delivering Value per Gigawatt
Google plans to expand its internal infrastructure to tens of gigawatts over the next four years, driving a strategic shift toward extreme system balance and specialized hardware like the TPU v8 series to overcome the 11% Model FLOPs Utilization limits of current clusters. As lead times for power procurement stretch to two to three years, the company is prioritizing energy abundance and grid integration through demand-response programs while redefining reliability standards to accept scheduled downtime in exchange for doubled compute capacity. This approach addresses critical bottlenecks in high-bandwidth memory supply and network latency, ensuring that future scaling efforts deliver maximum value per dollar rather than merely accumulating raw hardware assets.
- a16z33 min
Building the Real-World Infrastructure for AI, with Google, Cisco & a16z
Raghu Raghuram, Amin Vahdat, Jeetu Patel
Driven by a build-out 100 times larger than the late 1990s internet boom, the current infrastructure surge is constrained by three-to-five-year power and supply bottlenecks that are shifting data center locations and necessitating "scale across" architectures. As the industry enters a "golden age of specialization" through efficiency-focused accelerators and coherent cluster-wide networking, distinct geopolitical strategies are emerging that favor power-optimized hardware over cutting-edge process nodes. This environment compels Cisco to advocate for silicon diversity and full-stack innovation while internal enterprises like Google leverage AI to achieve significant productivity gains in code migration and operational workflows.