Why Cerebras CEO Andrew Feldman Built The World's Largest Computer Chip

Cerebras’s wafer-scale architecture redefines AI compute by utilizing a single, dinner-plate-sized chip to integrate high-speed memory directly with processing units, bypassing the latency issues inherent in modular GPU clusters. Founder and CEO Andrew Feldman highlights that this design delivers inference speeds up to 15 times faster than traditional graphics processing units, providing a distinct advantage for both answer-based and agentic AI workflows. While the industry faces significant supply chain pressures, Cerebras circumvents common bottlenecks like HBM memory and specific packaging processes, shifting the primary constraint to data center power and infrastructure availability. The evolving AI landscape suggests a continued coexistence of high-performance closed-source models and cost-effective open-source alternatives, where speed remains a fundamental driver of economic value and competitive differentiation in an increasingly token-intensive economy.