Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning [Updated]

Our ML-optimized architecture enables the largest models to run on a single device. With data parallel-only scale out…


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Can Sparsity Make AI Models More Accurate?

Cerebras introduces Sparse-IFT, a technique that, through sparsification, increases accuracy without increasing…


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Harnessing the Power of Sparsity for Large GPT AI Models

Enabling innovation of novel sparse ML techniques to accelerate training and inference on large-scale language models.


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