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Techniques for segmenting models into sequential stages across devices.
Distinguishing note: Focuses on sequential stage distribution, distinct from tensor-level splitting.
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ColossalAI is a distributed deep learning framework designed for training and deploying massive artificial intelligence models across clusters of hardware accelerators. It functions as a parallel computing engine that partitions model workloads and data across multiple processors to maximize memory efficiency and throughput. The platform distinguishes itself through a comprehensive suite of parallelization strategies, including multi-dimensional tensor parallelism and pipeline-based model parallelism, which segment neural network layers and stages across devices. To support large-scale genera
Segments deep learning models into sequential stages distributed across different devices to balance computational load.