Meta与佐治亚理工合作推出CATransformers框架 降低AI碳足迹
近日，Meta 的 FAIR 团队与佐治亚理工学院合作开发了 CATransformers 框架，旨在将碳排放作为 AI 系统设计的核心考量。这一新框架通过联合优化模型架构和硬件性能，显著降低了 AI 技术的总碳足迹，为实现可持续的 AI 发展迈出了重要的一步。随着机器学习技术的迅速普及，从推荐系统到自动驾驶等多个领域的应用不断增加，但其带来的环境代价同样不容忽视。许多 AI 系统需要大量的计算资源，往往依赖于定制的硬件加速器进行运算。在训练和推理阶段，所需的高能耗直接导致了运营中的碳排
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