Latest Machine Learning Research Proposes FP8 Binary Interchange Format: A Natural Progression For Accelerating Deep Learning Training Inference

To meet the increasing computing needs of neural networks, AI processing requires full-stack innovation across hardware and software platforms. Using lower precision number formats to increase computational efficiency, decrease memory utilization, and optimize for interconnect bandwidth is a crucial area to drive efficiency. Researchers think that having a standard interchange format will promote rapid development […]

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