AI-driven data centers: Revolutionizing decarbonization strategies
Why data centers are essential to global decarbonization
Whitepapers & Reports - Schneider Electric
The largest data center whitepaper library in the world
-
-
Water usage at AI scale
Insights from a 100 MW comparative analysis
-
Enabling the next generation of data center mechanical cooling
High-performance, scalable, and sustainable cooling platforms for mission-critical data centers
-
Accelerating AI data center deployment with software-defined medium-voltage switchgear
How software-defined medium-voltage switchgear can cut deployment timelines by 64%, accelerating time-to-power for AI data centers
-
DC arc flash analysis
A practical study on 800 VDC AI data centers
-
Transforming data center services: AI-driven condition-based maintenance
Enhancing resilience, reducing costs, and boosting efficiency amid skilled talent shortages
-
Condition-based maintenance in practice
A practical 10-step journey to improve asset availability, efficiency & reduce unplanned uptime
-
The AI factory
Data centers at the heart of the action
-
Sustainability benefits of prefabricated data centers: Core and shell carbon reduction
Explore 4 key findings on data center carbon reduction
-
Generative AI inferencing ramp-up
A CIO's guide to physical infrastructure considerations
-
How modern DCIM supports CIOs in managing distributed, AI-Driven IT environments
Managing distributed infrastructure in an increasingly AI driven world
-
DCD>Survey Report: Enterprise priorities
Exploring how high density workloads and AI are shifting enterprise priorities in the data center industry
-
Scaling AI-enabled digital twins across the data center lifecycle with OpenUSD
Unifying data center design, build, and operations into a single, AI-driven lifecycle model for faster, lower-risk decision-making
-
5 principles for 800 VDC in AI data centers
Rack-level architectures as the immediate enabler for 800 VDC adoption in AI data centers
-
AI workload deployment in data centers: Retrofit, outsource or build new?
A strategic framework for decision-making
-
Benefits and drawbacks of prefabricated modules for data centers
Balancing speed, cost, and risk in modular data center deployment.
-
Cybersecurity Guidance for Data Center Power and Cooling Infrastructure Systems
How to secure network connected power and cooling infrastructure across the data center lifecycle using defense in depth, zero trust principles, and secure by design and secure by operation frameworks.
-
Navigating data center energy constraints: considerations for on-site prime power
Why grid constraints are reshaping data center expansion, and how on site prime power addresses the challenge
-
Properly accounting for Scope 2 emissions in the age of flexible data centers
Why annual averages misrepresent real carbon impact, and how hourly data fixes it
-
Navigating liquid cooling architectures for data centers with AI workloads
Workloads are skyrocketing, and cooling must keep up
-
10 ways to harness the energy and water efficiencies of direct liquid cooling
Practical strategies to cut data center energy, water, and carbon use through optimized direct liquid cooling
-
10 data center sustainability improvements quantified by environmental impact
A data-driven roadmap to cutting emissions without compromising performance
-
How 6 AI attributes change data center design
From large training clusters to small edge inference servers, AI is becoming a larger percentage of data center workloads
-
Power quality solutions in data centers
Improving efficiency, reliability and resiliency
-
Powering the AI revolution with AI-tolerant UPS infrastructure
AI-tolerant 3-Phase UPSs help ensure reliable, uninterrupted high-density operations.
-
Retrofitting existing power systems for AI clusters
The IT industry is developing large generative AI models at a fast pace. These models can require megawatts of power at hundreds of kW/rack in data centers.
-
DCD Survey Report: The advent of AI
AI in the data center space, impact and attitudes in 2025
-
Rethinking data center service with an AI-driven systemic asset management strategy
Achieve resilience, reduce costs, and improve efficiency with equipment-agnostic Condition-Based Maintenance