Cerebras Systems’ Andrew Feldman: A Disruptive Force in 2026

AI models are constantly improving in their capabilities, but each advancement requires more computing power, energy, and infrastructure. The question arises: how sustainable is this trend?

Cerebras Systems has spent the last ten years challenging the conventional belief that powerful AI relies on standard chip architectures. Instead, the company has developed a wafer-scale computing approach, offering AI compute through both on-premise systems and a cloud platform.

At the upcoming TechCrunch Disrupt 2026 event, Cerebras Systems CEO Andrew Feldman will discuss the topic of “Can AI Keep Scaling?” He will delve into the increasing demand for computing power, energy, and infrastructure, how Cerebras is addressing these challenges differently, and what the future holds if current AI hardware reaches its limits.

Feldman, who co-founded Cerebras in 2015, has a background in building companies focused on computing infrastructure. With Cerebras, he and his team tackled the seemingly impractical task of bringing wafer-scale computing to market, creating a processor directly on the wafer itself, specifically designed for complex AI workloads.

Now, as the demand for AI compute continues to rise, Cerebras is expanding its approach. The company recently went public with a $5.5 billion IPO and entered a multiyear agreement with OpenAI to deploy 750 megawatts of Cerebras systems from 2026 to 2028. In addition, Cerebras introduced the latest generation of its wafer-scale AI infrastructure, the CS-4, in August.

The key question remains: can innovative approaches like Cerebras’ meet the escalating demands of powerful AI, and can the necessary infrastructure keep pace? Attendees of Disrupt can gain insights from a founder who has spent over a decade revolutionizing AI hardware by securing their pass at a discounted rate.

Scaling AI involves more than just faster processors; it requires a significant investment in data centers, electricity, cooling systems, and manufacturing capabilities. Cerebras is actively addressing these challenges by expanding its data center capacity and manufacturing capabilities to meet the growing demand for AI compute.

For those involved in decision-making around AI infrastructure, Feldman’s expertise can provide valuable insights into the future of AI computing. By registering for Disrupt, attendees can learn firsthand about the next phase of AI scaling from a founder who is reshaping the industry’s constraints.

As the demand for AI accelerates, Cerebras is scaling its computing and manufacturing capacity to keep pace with the evolving landscape. At Disrupt, Feldman will explore the implications of increasing demand for compute, energy, and infrastructure on AI’s future, as well as the potential consequences if traditional hardware falls behind.

Disrupt offers a diverse range of sessions across various industry stages, providing attendees with the opportunity to connect with like-minded individuals shaping the future of technology. By registering for Disrupt, participants can gain valuable insights into the future of AI scaling and network with industry leaders.

In conclusion, Cerebras’ innovative approach to wafer-scale computing has positioned the company as a key player in the evolving AI landscape. By attending Disrupt and hearing from Feldman, attendees can gain a deeper understanding of the challenges and opportunities in scaling AI, and what it takes to stay ahead in this rapidly advancing field.