CarbonClipper: A Learning-Augmented Algorithm for Carbon-Aware Workload Management that Achieves the Optimal Robustness Consistency Trade-off

Data centers consume a lot of electricity, especially for new AI applications, which can harm the environment. Researchers are finding ways to manage data center operations to reduce this impact. One solution is CarbonClipper, an algorithm that manages workloads in a way that reduces carbon emissions. It uses forecasts of carbon intensity, movement costs, and task deadlines to allocate and schedule workloads efficiently. Using AI solutions like CarbonClipper can transform business operations by automating tasks, managing KPIs, and improving customer engagement. Implementing AI gradually and strategically can have a measurable impact on business outcomes. For advice on AI KPI management and insights into leveraging AI, contact us at hello@itinai.com. Stay updated on AI solutions and industry insights through our Telegram channel and Twitter. Useful Links: - AI Lab in Telegram @itinai – free consultation - Twitter – @itinaicom