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This is a Quantitative Study study.

September 27, 2025Open Access

Sustainable AI Training via Hardware-Software Co-Design on NVIDIA, AMD, and Emerging GPU Architectures

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This analysis reveals environmental performance optimizations in energy efficiency for GPU architectures, suggesting improved training methods.

Significant increases in energy efficiency are achievable through innovative hardware-software co-design techniques.
Research highlights specific advancements in GPU architectures from NVIDIA and AMD enhancing performance-per-watt metrics.
Key evaluations include energy-aware scheduling algorithms and mixed-precision arithmetic for advanced sustainability.
Real-world case studies from major companies illustrate effective implementations of sustainable AI training methods.

Makin et al. (2025) studied this question.

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This analysis reveals environmental performance optimizations in energy efficiency for GPU architectures, suggesting improved training methods.