Cerebras Systems
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Deep Learning Programming at Scale

Published by Cerebras Systems

This whitepaper discusses how the Cerebras CS-2 system revolutionizes deep learning by offering cluster-scale performance in a single device, eliminating the need for complex, distributed GPU clusters. Powered by the Wafer-Scale Engine (WSE-2), the CS-2 delivers 850,000 AI-optimized cores and unmatched memory and interconnect bandwidth. By simplifying the programming process with familiar frameworks like PyTorch and TensorFlow, the CS-2 accelerates neural network training without requiring parallel programming expertise, dramatically reducing time-to-solution and enabling the efficient training of massive AI models.

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Related Categories Artificial Intelligence, Deep Learning, AI Integration, AI Strategy, AI Applications, AI Chips, GPUs, AI Accelerators, AI Servers, AI Infrastructure, AI Processing Units, Model Training

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