To mitigate climate change, we must reduce carbon emissions from hyperscale cloud
computing. We find that cloud compute servers cause the majority of emissions in a general …

Sustainability in general and global warming in particular are grand societal challenges.
Computer systems demand substantial materials and energy resources throughout their …

Fueled by the soaring popularity of foundation models, the accelerated growth of artificial
intelligence (AI) models' enormous environmental footprint has come under increased …

Large language models (LLMs) have been widely used for their ability to handle complex
natural language tasks with high accuracy. The lifecycle of LLMs development and …

Training large-scale artificial intelligence (AI) models demands significant computational
power and energy, leading to increased carbon footprint with potential environmental …

Major cloud providers have stated public plans to lower their carbon emissions. Historically,
this has meant focusing on emissions from producing the electricity consumed by …

This work introduces ECOLIFE, the first carbon-aware serverless function scheduler to co-
optimize carbon footprint and performance. ECOLIFE builds on the key insight of intelligently …

Major innovations in computing have been driven by scaling up computing infrastructure,
while aggressively optimizing operating costs. The result is a network of worldwide …

The rapid expansion of generative artificial intelligence (Gen-AI) is propelled by its
perceived benefits, significant advancements in computing efficiency, corporate …

Motivated by an imperative to reduce the carbon emissions of cloud data centers, this paper
studies the online carbon-aware resource scaling problem with unknown job lengths …