Unverified50% confidenceFactExact time
Training and running large models requires continuous purchases of high-performance chips, expansion of data centers, and payment of high electricity and cooling costs.
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50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
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Related Claims
UnverifiedTraining and running large models requires large GPU clusters, high-speed interconnect networks, and supporting power facilities, and these investments carry extremely high fixed costs and long construction cycles.76% similarUnverifiedTraining and running large models requires enormous computing power and electricity, and the surge in energy demand from data centers creates tension with global carbon neutrality goals.75% similarUnverifiedTraining refers to the process of adjusting model parameters with massive amounts of data, requiring high-speed multi-GPU interconnection and long periods of stable operation, with extremely high demands on per-GPU compute and memory bandwidth.74% similarUnverified当前多模态模型训练在不同硬件平台上需要维护多套代码，导致高维护成本74% similarUnverifiedDiversified procurement requires adapting model training and inference stacks to different hardware and cloud platforms, bringing additional engineering complexity and performance overhead.73% similar
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