Why Trillion-Parameter Models Need a New Serving Architecture
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Why Trillion-Parameter Models Need a New Serving Architecture
Trillion-parameter models turn inference into a problem of moving weights, managing memory, and coordinating devices. Cerebras’s wafer-scale approach addresses those constraints by making data movement and synchronization central design concerns.
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