Реплика — копия модели, training set или model component, сохраненная или выполняемая на другой машине или устройстве. Реплики используются в distributed training и inference, например в data parallelism, для повышения scalability и throughput.
A copy (or part of) of a training set or model, typically stored on another machine. For example, a system could use the following strategy for implementing data parallelism: 1. Place replicas of an existing model on multiple machines. 2. Send different subsets of the training set to each replica. 3. Aggregate the parameter updates. A replica can also refer to another copy of an inference server. Increasing the number of replicas increases the number of requests that the system can serve simultaneously but also increases serving costs.