PRISM: Distributed Inference for Foundation Models at Edge

Name: PRISM: Distributed Inference for Foundation Models at Edge
Uploaded: 2026-10-17T19:48:02.369336+00:00
Duration: 156 s
Description: PRISM is a strategy for running large foundation models like BERT and GPT-2 efficiently on edge devices. It achieves this by using Segment Means to compress intermediate features, restructuring self-attention to reduce redundant calculations, and implementing partition-aware causal masking. This significantly cuts communication overhead and computation while maintaining good accuracy.

PRISM is a strategy for running large foundation models like BERT and GPT-2 efficiently on edge devices. It achieves this by using Segment Means to compress intermediate features, restructuring self-attention to reduce redundant calculations, and implementing partition-aware causal masking. This significantly cuts communication overhead and computation while maintaining good accuracy.

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