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.
Explore Cerebras CS-4 and Wafer-Scale AI Systems
cs-4 overview
Cerebras CS-4 AI Accelerator
Powered by three WSE-3 Turbo processors, the Cerebras CS-4 rack-scale AI system delivers up to 30× faster inference than GPU systems, higher throughput per watt, and a simpler path to hyperscale deployment.
blog
Introducing Cerebras CS-4: The Fastest AI Just Got Faster
Cerebras CS-4 is a rack-scale AI accelerator that combines three WSE-3 Turbo processors, low-latency wafer links, and the modular Nexus platform for ultrafast, scalable AI inference.
datasheet
Cerebras CS-3 and WSE-3 Datasheet
Review specifications for the Cerebras CS-3 system and WSE-3 processor, including AI compute, on-chip memory, bandwidth, power, cooling, and rack configurations.
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