Skip to main content

Cerebras and Compute Nordic Finland Announce New 165 MW AI Data Centre in Mikkeli, Finland >>

The Future of AI is Wafer Scale

Four trillion transistors. 250 petaflops. One silicon wafer. The world’s largest and most powerful processor for AI training and inference.

The Cerebras WSE-3 Turbo (WSE-3T) is the largest AI chip ever built, measuring 46,225 mm² and containing 4 trillion transistors. It delivers 250 petaflops of AI compute through 900,000 AI-optimized cores — 19× more transistors and 56× more compute than the NVIDIA B300.

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

Wafer-Scale Engine 3 Turbo (WSE-3T)

The Cerebras CS-4 rack-scale AI system is powered by three WSE-3T processors, delivering up to 30x faster inference than GPU systems, higher throughput per watt, and a simpler path to hyperscale deployment.

Explore CS-4
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.

See how CS-4 works
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.

View the Datasheet

Schedule a meeting to discuss your AI vision and strategy,

Performance comparisons are based on third-party benchmarking or internal testing. Observed inference speed improvements versus GPU-based systems may vary depending on workload, configuration, date and models being tested.

1237 E. Arques Ave
 Sunnyvale, CA 94085

© 2026 Cerebras.
All rights reserved.