OptINC: Optical In-Network-Computing for Scalable Distributed Learning
OptINC: Optical In-Network-Computing for Scalable Distributed Learning explores OptINC offloads distributed learning computations, like gradient averaging and quantization, directly into optical interconnects to eliminate communication overhead and accelerate large model training.. Commercial viability score: 7/10 in LLM Training.
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