Inside Story of Building the World’s Largest AI Inference Chip | Cerebras CEO & Co-Founder Andrew Feldman

Discover how Cerebras is challenging NVIDIA with a fundamentally different approach to AI hardware and large-scale inference. In this episode of Startup Project, Nataraj sits down with Andrew Feldman, co-founder and CEO of Cerebras Systems, to discuss how the company built a wafer-scale AI chip from first principles. Andrew shares the origin story of Cerebras, why they chose to rethink chip architecture entirely, and how system-level design decisions unlock new performance for modern AI workloads. The conversation explores: Why inference is becoming the dominant cost and performance bottleneck in AI How Cerebras’ wafer-scale architecture overcomes GPU memory and communication limits What it takes to compete with incumbents like NVIDIA and AMD as a new chip company The tradeoffs between training and inference at scale Cerebras’ product strategy across systems, cloud offerings, and enterprise deployments This episode is a deep dive into AI infrastructure, semiconductor architecture, and system-level design, and is especially relevant for builders, engineers, and leaders thinking about the future of AI compute. 🎧 Listen to the full episode of Startup Project on YouTube or your favorite podcast platform.