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Large Model Computing Industry Background
Training large AI models requires extensive parallel computing capabilities and high-performance hardware such as GPUs. Additionally, large amounts of data and storage space are necessary for model parameters and intermediate results. High-speed networks and large-scale storage are critical to handle these extensive computational needs.
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