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Cerebras CS-4 Generates In 1 Second What A GPU Rack Needs 30 Seconds For, Powered By 4-Trillion-Transistor WSE-3 Turbo
Cerebras has unveiled its latest AI compute powerhouse, the CS-4, featuring the WSE-3 Turbo chip. This new architecture offers unparalleled performance, boasting 125 PFLOPs, which doubles to 250 PFLOPs when sparsity is utilized. The CS-4 achieves a monumental reduction in latency and enhances throughput by a factor of ten compared to its predecessor, the CS-3. Designed for large-scale AI models, the CS-4 promises to reshape AI deployment with its modular design and efficient power distribution, positioning itself as a formidable competitor against NVIDIA in the AI hardware landscape.
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Published 19 Aug 2026, 22:20 UTC4 min read
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Summary
TL;DR
- CS-4 reduces AI inference timing to one second versus thirty seconds for GPU racks.
- WSE-3 Turbo chip features 4 trillion transistors and 900,000 cores.
- Achieves 750 PFLOPs of AI compute in a single CS-4 rack.
- Latency is slashed from 5ms to 2ms with the new design.
- Partnerships with AMD aim to enhance AI throughput significantly.
Interesting facts
- The WSE-3T retains 4 trillion transistors while achieving substantial gains in AI computation speed.
- CS-4 is designed to support models exceeding 50 trillion parameters.