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Settings and frameworks that enable scaling model training workloads across multiple hardware and compute nodes.
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TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst
Configures scaling parameters to distribute training workloads across multiple hardware accelerators for improved computational efficiency.