Powering the Next Generation of AI
Overcome infrastructure constraints and accelerate AI deployment
The next AI challenge isn’t compute, it’s infrastructure
The AI industry has made extraordinary progress in accelerating compute performance. New generations of GPUs, AI systems, and large-scale AI clusters are enabling unprecedented innovation and growth. However, as AI adoption accelerates, a new challenge has emerged: Unlocking AI’s full potential through operational readiness.
Today, organisations are struggling to deploy, power, cool and operate it at scale. As AI workloads grow, infrastructure requirements are changing rapidly:
- Higher rack densities
- Increased power demand
- Advanced liquid cooling requirements
- Greater deployment complexity
- Faster time-to-market expectations
For the first time in modern IT history, compute innovation is advancing faster than the physical infrastructure required to support it.
of organisations struggle to scale AI infrastructure from pilot to production*
cite investment requirements as a barrier to AI deployment*
of AI data centers could be constrained by power availability by 2027**
of organisations preferring on-premise infrastructure over colocation or cloud*
AI Growth Is Creating New Infrastructure Challenges
Organisations only realise the full value of AI when they can deploy, scale, and operate AI workloads reliably and efficiently.
AI growth is accelerating:
- Larger GPU clusters
- More AI training and inference workloads
- Higher-density AI factories
- Growing business demand for AI outcomes
New constraints are emerging:
- Power availability
- Cooling capacity
- Site readiness
- Utility access
- Deployment speed
- Operational expertise
Business Consequences:
- Increased deployment risk
- Slower time-to-value
- Reduced customer confidence
- Missed business opportunities
Moving from AI innovation to real-world impact
The demand for AI is transforming IT infrastructure and creating unprecedented requirements for power, cooling, monitoring and operational expertise.
Schneider Electric is the Energy Technology Partner helping organisations and ecosystem partners accelerate the journey from AI strategy to production through end-to-end expertise spanning:
- Design: Validated AI reference architectures and engineering expertise
- Simulate: Digital twins and infrastructure modelling
- Deploy: Integrated power, cooling and prefabricated solutions
- Operate: Software-driven visibility and optimisation
- Maintain: Lifecycle services and AI-enabled support
Grow your AI business with Schneider Electric
As AI adoption accelerates, infrastructure readiness is becoming a critical factor in successful deployments. Schneider Electric provides the resilient power, cooling and infrastructure foundation needed to support the next generation of AI innovation.
By reducing infrastructure complexity and deployment risk, we enable ecosystem partners to focus on their core expertise and create greater customer value.
Together, Schneider Electric helps partners:
Deploy Faster
Accelerate time-to-revenue
Reduce Risk
Protect Customer Success
Scale faster
Expand AI adoption
Improve Customer Outcomes
Increase long-term platform growth
AI demands more. Schneider delivers.
“We electrify, automate and digitalise every industry, business and home, driving efficiency and sustainability for all.”
Olivier Blum, Chief Executive officer, Schneider Electric
Why Ecosytem Partners Choose Schneider
As a trusted brand, Schneider helps partners deliver AI infrastructure with confidence.
Challenge
Schneider Electric
Outcome
Customers are ready for AI, but facilities and infrastructure are not
Infrastructure readiness assessments; Reference architectures; High-density AI designs; Power and cooling expertise
Faster platform adoption; More GPUs and AI systems deployed; Expanded addressable market
Infrastructure complexity slows AI projects and delays customer value.
Validated AI Factory designs; Digital twin simulation; Integrated rack, cooling and power solutions; Global deployment expertise
Faster deployments; Faster time-to-revenue; Reduced sales cycle friction
Infrastructure failures undermine customer confidence and adoption.
End-to-end validation; Infrastructure integration expertise; Lifecycle services; Operational monitoring
Greater customer confidence; Lower deployment risk; More successful AI projects
Customers struggle moving from deployment to long-term operations.
ETAP; AVEVA; EcoStruxure; EcoCare ; Services
Faster time-to-token; Improved uptime; Long-term customer success
Proven at AI scale
Largest scale data centre solution manufacturing, R&D and services to meet escalating demand.
Together with our ecosystem of partners we deliver real solutions to design, power, cool, operate and maintain AI globally. Trusted by the world’s leading AI innovators: Dell & Nvidia.
End-to-end lifecycle expertise that accelerates AI outcomes, from design and simulate to build, operate and maintain.
Accelerate AI factory design with proven infrastructure blueprints
Enable AI infrastructure design by building new AI factories or retrofitting existing data centers with fully engineered validated infrastructure blueprints. Leverage NVIDIA‑collaborated architectures to reduce risk, speed deployment, and scale AI with confidence.
AI Innovation School Webinar on demand
Driving Business Growth with AI: Partner Strategies Powered by NVIDIA in Europe.
Hear from NVIDIA and Schneider Electric experts as they share real-world use cases, best practises, and the enablement resources available to help you build stronger, more profitable AI services in 2026 and beyond.
Build stronger AI opportunities with Schneider Electric
As customer demand for AI continues to grow, infrastructure readiness is becoming a critical enabler of success. By combining industry-leading expertise across power, cooling, software and services, Schneider Electric helps ecosystem partners bring AI solutions to market faster and with less risk.
Complete the form below and speak to our team about accelerating your AI opportunities.