Building large scale training clusters from scratch and achieving high MFU (Model Flop Utilization) and reliability is very hard. Train 24 trillion parameter models across 2048 nodes with the simplicity of a single device on Cerebras CS-3 clusters. Watch our technical keynotes:

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