Electronic apparatus determining GPUs in a network for effective data learning and method for controlling thereof
Abstract:
An electronic apparatus includes a communication interface to communicate with external servers; and a processor to control the electronic apparatus by executing at least one instruction. The processor is configured to receive, from each of the external servers, values of bandwidths of a plurality of GPU pairs into which a plurality of GPUs included in the external servers are combined and information on whether the plurality of GPUs are used, based on a input job related to machine learning being received, identify a number of GPUs and a bandwidth value that are required for performing tasks included in the input job, and determine GPUs among the plurality of GPUs to perform the tasks based on the values of the bandwidths of the plurality of GPU pairs, the received information on whether the plurality of GPUs are used, and the number of GPUs and the bandwidth value.
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