Dell’s Concept Astro Uses AI and Automation to Slash Data Centre Costs and Emissions
Dell Technologies' Concept Astro uses AI and automation to optimize data centre energy use and operations without disrupting workloads. A pilot cut costs by 20% and emissions by 32%.

Dell Technologies Launches Concept Astro to Optimize Data Centre Operations
Data centres face growing pressure as AI adoption increases energy demands. Dell Technologies has introduced Concept Astro, a solution that combines AI, digital twins, and automation to improve energy efficiency and streamline operations without interrupting workloads.
What is Concept Astro?
Concept Astro is an AI-driven workload management system designed to forecast processing times, predict energy needs, and prioritize tasks based on business priorities, energy availability, and cost. This approach helps data centres reduce energy use while maintaining operational performance.
Real-World Impact: Pilot with Scripps Institution of Oceanography
In collaboration with the Scripps Institution of Oceanography at the University of California San Diego, Concept Astro optimized AI-intensive workload scheduling. The pilot resulted in a 20% reduction in costs and a 32% cut in emissions, demonstrating tangible benefits for both the environment and operational budgets.
Benefits for Operations Teams
- Improved forecasting allows better planning of workloads and resource allocation.
- Energy consumption is optimized without disrupting ongoing operations.
- Cost savings and emissions reductions contribute to sustainability goals.
- Supports grid resilience by adapting to energy availability.
Dell Technologies continues to invest in solutions that reduce operational costs and environmental impact. Concept Astro represents a step forward in leveraging AI for smarter, more sustainable data centre management.
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