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Cerebras Expands AI Training & Inference Cluster in Europe at the University of Edinburgh to Accelerate AI Research and UK's AI Capabilities

1. Cerebras installed a CS-3 system cluster at the University of Edinburgh. 2. The system features advanced Wafer Scale Engine processors for supercomputing.

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Why Bullish?

Cerebras's advancements in supercomputing capabilities could drive demand for their technology, similar to Nvidia's growth after introducing powerful GPUs that disrupted the AI market. Positive partnership announcements typically indicate a stronger potential for future revenue streams.

How important is it?

The successful deployment of the CS-3 systems represents a significant milestone for Cerebras, enhancing its standing in the supercomputing realm and signaling potential for increased market share and user interest.

Why Long Term?

While immediate financial impacts may be minimal, advancements in technology will position Cerebras for long-term growth in the AI supercomputing space, akin to the trajectory of other tech firms that leveraged university partnerships to enhance innovation and research capabilities.

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EDINBURGH, Scotland & SUNNYVALE, Calif.--(BUSINESS WIRE)--Today the University of Edinburgh and Cerebras Systems announced the successful installation and service start of a groundbreaking Cerebras CS-3 system cluster at the University. Operated by EPCC, the supercomputing centre at the University, and part of the Edinburgh International Data Facility, the cluster consists of four CS-3s using Cerebras's latest 3rd generation of Wafer Scale Engine processors – the world's largest commercially av.

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