Model-distributed inference with recurrent pipeline parallelism lets edge devices share an LLM, cutting per-device memory and increasing token generation throughput when more devices join.
Edge computing with artificial intelligence: A machine learning perspective,
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Model-Distributed Inference for Large Language Models at the Edge
Model-distributed inference with recurrent pipeline parallelism lets edge devices share an LLM, cutting per-device memory and increasing token generation throughput when more devices join.