AI 模型训练成本暴涨，2027 年或达 1000 亿美元！
Anthropic 首席执行官预计 AI 模型训练成本在未来三年内将会有显著提升，从目前的 10 亿美元增长到 1000 亿美元，引发行业对成本前沿的波澜与 AI 泡沫的可行性讨论。这一成本增长主因在于不断增长的硬件需求，特别是 AI 模型快速扩张对高性能计算硬件（特别是 GPU 和数据中心能源）的驱动。此外，伴随着人工智能从生成式向通用目的的演进，基础理论与发展路径的探讨与其实用成本之间的平衡成为关注焦点。提高效率与优化成本成为 AI 领域深度研究的关键。关注硬件与能源优化、提高人力成本利用效率、数据管理与维护，仍将是降低 AI 训练成本、实现其经济可持续发展的核心路径。因此，AI 产业仍需高度关注技术与经济策略的综合平衡，以推动其蓬勃发展。
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