Power and cool the most demanding AI workloads
Access high-density power delivery and advanced air and liquid cooling designed for next-generation GPUs and CPUs—without costly data center retrofits.
WHY AI NEEDS A HIGH-PERFORMANCE DATA CENTER
AI demands more power and cooling
AI workloads require high-density power, advanced cooling and operational expertise that many legacy facilities can’t deliver. Equinix AI-ready data centers are built for it.
Deploy AI-ready capacity faster
Reduce design and construction time with prebuilt facilities, standardized designs and expert deployment support—and scale as business requirements evolve.
Connect to every cloud, model and AI provider
Use Equinix Fabric® for private, on-demand connectivity to clouds, neoclouds, model providers, data platforms and networks—reducing data transfer and egress costs without vendor lock-in.
Simplify AI infrastructure operations
Use design, deployment and on-site technical support to reduce the operational burden of running AI infrastructure.
HOW EQUINIX ENABLES AI-READY INFRASTRUCTURE
Built for the physical demands of AI
How it fits together: Run training, inference and enterprise AI workloads in Equinix AI-ready data centers that have high-density power and liquid cooling. Then use Equinix Fabric® to connect privately to cloud service providers, neoclouds and foundation model APIs.
Deploy on infrastructure built for AI
Get the high-density power and advanced air and liquid cooling that GPU-dense AI workloads demand, without building it yourself.
Connect privately to the AI ecosystem
Use Equinix Fabric® to reach clouds, model providers and AI services through private, high-performance interconnection.
Move from pilot to production without rebuilding
Deploy ready-to-run infrastructure that scales with you, so growing from a pilot to full production doesn’t mean starting over.
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AI Data Centers#1
Cloud on-ramps96%
Renewable energyPut AI where it delivers the most value
AI performs best when compute sits close to your data, users and partners. Choose the right location for each workload and grow your footprint at your own pace.
Keep data close to compute
Place GPU infrastructure next to the datasets your models rely on, so you don’t move large volumes of data and you avoid the delays that come with it.
Serve inference near your users
Run inference in metros near your customers and devices to help lower response times for real-time AI applications.
Keep control of models and data
Keep proprietary models, training data and outputs in private environments you control, with physical security and access policies set by you.
Support data residency needs
Deploy AI in the locations your regulations call for, so sensitive data can stay in the right jurisdiction while you scale.
Go deeper on AI-ready data centers
Find the use cases and expert insights you need to build AI that keeps your data under your control and supports local regulatory requirements.
AI-ready data center guide: Model training and fine-tuning
The infrastructure requirements for training at enterprise scale—and how to meet them now.
Liquid cooling in an AI-ready data center
What modern accelerators demand thermally, and how Equinix delivers it globally.
AI factories for the enterprise
From GPU cluster to production AI—the fast path to deployed infrastructure.
