GreenFPGA modeling indicates FPGAs can achieve lower total carbon footprints than ASICs, GPUs, and CPUs for low-volume applications with frequently changing and diverse workloads under iso-performance assumptions.
Life-cycle Emissions of AI Hardware: A cradle-to-grave approach and generational trends
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AI data centers raise surrounding land surface temperatures by 2°C on average, potentially affecting over 340 million people via local climate changes.
ICT LCAs form error-prone model systems requiring explicit dependency graphs and open versioned repositories for credible assessments.
A review of AI sustainability studies finds inconsistent life cycle definitions and predominant reliance on coarse CO2e proxies, with limited coverage of water, materials, and multi-impact assessments.
citing papers explorer
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Evaluating Computing Platforms for Sustainability: A Comparative Analysis of FPGAs against ASICs, GPUs, and CPUs
GreenFPGA modeling indicates FPGAs can achieve lower total carbon footprints than ASICs, GPUs, and CPUs for low-volume applications with frequently changing and diverse workloads under iso-performance assumptions.
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The data heat island effect: quantifying the impact of AI data centers in a warming world
AI data centers raise surrounding land surface temperatures by 2°C on average, potentially affecting over 340 million people via local climate changes.
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All LCA models are wrong. Are some of them useful? Towards open computational LCA in ICT
ICT LCAs form error-prone model systems requiring explicit dependency graphs and open versioned repositories for credible assessments.
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From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint
A review of AI sustainability studies finds inconsistent life cycle definitions and predominant reliance on coarse CO2e proxies, with limited coverage of water, materials, and multi-impact assessments.
- LLM Harms: A Taxonomy and Discussion