English to Chinese Tech/Engineering IT (Information Technology) PaddlePaddle

Some other approaches use a set of parameter servers to collectively hold a very large model in the CPU memory space on multiple hosts. But in practice, it is not often that we have such big models, because it would be very inefficient to handle very large model due to the limitation of GPU memory. In our configuration, multiple parameter servers are mostly for fast communications. Suppose there is only one parameter server process working with all trainers, the parameter server would have to aggregate {gradients} from all trainers and becomes a bottleneck.
在深度学习领域，这个gradients是指“梯度”还是“梯度数据”？还是其他？