Cerebras

Cerebras is an AI chip company that builds the world's largest processors — wafer-scale engines (WSEs) designed to dramatically accelerate AI training and inference. Founded in 2016 by Andrew Feldman, Cerebras has taken one of the most radical approaches in semiconductor design: instead of cutting a silicon wafer into hundreds of individual chips, Cerebras uses the entire wafer as a single, massive processor.

Wafer-Scale Computing

The Cerebras WSE-3 contains 4 trillion transistors and 900,000 AI-optimized cores on a single chip the size of a dinner plate — roughly 56 times larger than the largest NVIDIA GPU. This scale eliminates the inter-chip communication bottleneck that slows down distributed AI training across clusters of smaller GPUs. For certain workloads, a single Cerebras system can replace hundreds of GPUs while consuming less power.

Challenging the GPU Paradigm

Cerebras represents the most significant architectural challenge to NVIDIA's dominance in AI compute. While NVIDIA optimizes for networks of many GPUs, Cerebras optimizes for single-system performance. The company's CS-3 systems have demonstrated competitive training times for large language models and have been adopted by pharmaceutical companies, national labs, and AI startups seeking alternatives to the GPU supply crunch.

Inference at Scale

Cerebras has positioned its technology for AI inference as well as training. As agentic AI deployments scale and inference costs become the dominant expense (rather than training), alternative architectures like Cerebras' wafer-scale approach could reshape the economics of AI compute — a dynamic central to the compute capital markets.