Can AI Keep Scaling? Cerebras CEO Andrew Feldman Takes the Stage at TechCrunch Disrupt 2026
AI models keep getting more capable. But every leap forward demands more compute, energy, and infrastructure. How far can that continue?
Challenging Conventional Chip Architecture
Cerebras Systems has spent the past decade challenging a basic assumption behind AI computing: that increasingly powerful AI must depend on conventional chip architectures. The company built its approach around wafer-scale computing and today provides AI compute through on-premise systems and its cloud platform.
A Fireside Conversation on the Disrupt Stage
At TechCrunch Disrupt 2026, Cerebras Systems CEO and co-founder Andrew Feldman will take the Disrupt Stage for "Can AI Keep Scaling?". He'll explore the growing demand for compute, energy, and infrastructure, how Cerebras is approaching those constraints differently, and what comes next if today's AI hardware reaches its limits.
Image Credits: TechCrunch
Why This Conversation Matters
Want to understand what could determine how far AI can scale? Secure your Disrupt ticket to hear from a founder solving the AI scale challenge. Bring a co-founder, colleague, or peer at a discounted rate and join the conversation shaping the next era of AI infrastructure.
via TechCrunch AI