AI Data Center Infrastructure Solutions
With expertise spanning grid interconnection to compute, Mitsubishi Electric helps developers accelerate deployment, maximize data center power and cooling reliability, and prepare for future technology transitions.
Don’t Let Your Decisions Become Infrastructure Constraints
The future of AI data centers is being driven simultaneously by opportunities and challenges at the chip, the grid, and everything in between. Decisions made in one layer of the facility directly impact power availability, cooling requirements, reliability, efficiency, scalability, and future deployment flexibility:
- GPU architecture and rack density drive power distribution, liquid- and air-cooling requirements, and ultimately, the supporting facility infrastructure.
- Cooling architecture and operating temperatures influence heat-rejection strategy, electrical demand, efficiency, and the amount of infrastructure required to support the compute.
- Power availability, generation, and energy storage influence how much compute can be deployed, how quickly capacity can come online, token throughput, and the resiliency strategy of the facility.
- Future GPU roadmaps require the infrastructure to accommodate increasing power and cooling densities without repeatedly redesigning the facility.
- Community concerns around noise levels and resource utilization bring external scrutiny to environmental impact and how quickly projects can gain approval and move into operation.
AI-Ready Data Center Infrastructure & Reference Architecture
Developers must consider all elements of an AI data center’s infrastructure from end-to-end technical performance to external constraints.
When these systems are designed independently, organizations can face unnecessary complexity, greater operational risk, stranded capital, challenges scaling as technology evolves, and barriers to deploying new capacity.
With expertise from compute to grid interconnection, Mitsubishi Electric serves as a long-term infrastructure partner, designing, delivering, and servicing solutions that adapt to changing requirements without costly constraints, overprovisioning, or major redesigns.
In collaboration with NVIDIA, Mitsubishi Electric deveoped a practical, scalable AI reference architecture that reflects our future-forward, high efficiency approach to developing AI campuses.
Discover the end-to-end solutions portfolio and AI reference architecture behind maximum infrastructure reliability and compute capacity.
Why Partner with Mitsubishi Electric?
Expertise Beyond the Data Center
Many suppliers are entering the AI data center market from inside the data center.
With a deep understanding of the tradeoffs and consequences across the entire critical infrastructure chain, Mitsubishi Electric brings decades of experience from the other direction – combining expertise in grid interconnection, electrical distribution, and data center cooling and power systems.
We partner with you throughout the infrastructure lifecycle, helping you make confident, system-level decisions that protect uptime, increase efficiency, and prepare for future techological developments.
Don’t Design in Isolation
AI-ready infrastructure requires system-level expertise across power generation, distribution, cooling, and compute.
Mitsubishi Electric helps customers evaluate infrastructure decisions as part of a connected system to maximize power availability and token throughput.
Avoid Future Infrastructure Constraints
Repeatable designs and phased deployments support multiple GPU generations, increasing power densities, evolving data center cooling requirements, and diverse deployment climates, reducing the risk of costly redesign and preserving flexibility as requirements evolve.
Don’t Let Your Business Go Dark®
Highly reliable, technologically mature solutions backed by dependable lifecycle services maximize infrastructure reliability, safety, performance, and longevity.
Data Center Solutions
Mitsubishi Electric’s solution portfolio spans products from grid interconnection all the way through heat rejection, supported by services from application engineering to preventative maintenance.
Let’s Discuss Your Project
From initial planning and infrastructure strategy to deployment and lifecycle support, our team can help you build a reliable foundation for long-term AI growth.
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