The Future of AI is Wafer Scale
Four trillion transistors. 125 petaflops. One silicon wafer. The world’s largest and most powerful processor for AI training and inference.
How Cerebras Solved the Yield Problem
Think a silicon wafer-sized chip can’t be economical? Think again. Cerebras made wafer-scale work by designing to withstand defects, not avoid them—with redundant compute cores, redundant routing, and a fail-in-place architecture that shuts flaws down and routes around them.