Expert Parallelism: Scaling Mixture-of-Experts Models
SMRTR summary
Expert parallelism distributes specialized subnetworks across multiple GPUs, activating only relevant experts per input token to dramatically reduce costs. This technique enables trillion-parameter AI training with near-linear scaling and up to 4x faster speeds.
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