Amin Vahdat
Showing 1–2 of 2 transcripts.
- 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.