emeth.ai - Alt EMETH — Super High Speed Distributed Computating Platform

Example domain paragraphs

It is a distributed computing network where excess computing resources are connected peer-to-peer and used as if they were a single GPU machine. The ecosystem is designed by managing computing resource providers and users are connected world wide.

Data Parallel is a method in which the machine learning training material data is subdivided and assigned to each node, and the results computed by each are aggregated from time to time. The intermediate machine learning model obtained during the computation process is shared among each node and the learning process proceeds in a coordinated manner. This method is the simplest and most effective distributed computation method.

Model parallel copies the entire training material data to each node, with each node taking on a certain step of the training process. This method requires more inter-node communication, but the resulting machine learning model is more accurate.

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