Andrew Feldman, CEO and co-founder of Cerebras Systems, will take the stage at TechCrunch Disrupt 2026 in San Francisco to tackle a question that keeps the entire AI industry up at night: can AI actually keep scaling? The session, scheduled for 2:30 p.m. on the conference’s main stage during the October 13-15 event, comes at a pivotal moment for Cerebras. The company went public in May 2026, raised $5.55 billion, and disclosed a backlog worth $25 billion. The chip that ate the whole wafer Cerebras builds something called a wafer-scale engine. Most chipmakers cut a silicon wafer into hundreds of individual chips. Cerebras looked at that process and said, “What if we just used the whole thing?” The result is the WSE-3, a single chip packed with roughly 4 trillion transistors and 900,000 cores. For context, a high-end consumer GPU has a few tens of billions of transistors. Cerebras fits more than a hundred times that onto one piece of silicon. The practical upside is speed, particularly for inference, which is the process of running a trained AI model to generate outputs. Every time you ask ChatGPT a question or an autonomous agent writes code, that’s inference at work. Cerebras claim...
Cerebras Systems CEO Andrew Feldman to discuss AI scaling at Disrupt 2026
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