Cerebras's New 900,000-Core AI Beast Chip That Made NVIDIA AI Servers Look Like a JOKE!

By Evolving AI

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Cerebras has unveiled the CS-4 and WSE-3 Turbo, its latest wafer-scale AI computing system designed to challenge traditional GPU-based AI infrastructure. Instead of cutting a silicon wafer into hundreds of individual chips, Cerebras turns almost the entire wafer into one enormous AI processor, and the new CS-4 pushes that idea further than ever. The Cerebras WSE-3 Turbo packs 4 trillion transistors, 900,000 AI-optimized cores and 44GB of on-chip SRAM, while delivering up to 250 PFLOPS of AI compute and 43.2 PB/s of memory bandwidth per wafer. The CS-4 combines three WSE-3 Turbo processors in one rack for 750 PFLOPS of AI performance and 129.6 PB/s of aggregate memory bandwidth. In this video, we break down Cerebras CS-4 vs GPU-based AI systems, its claimed 4,400+ tokens per second on GPT-OSS-120B, ultra-low-latency AI inference, Direct Wafer Links, the new Nexus architecture, and the Wafer Scale Backpack. We also explore why Cerebras believes faster inference could transform AI agent

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