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AI Leaders

Run AI at scale, without running in circles.

Run AI where your data already lives across clouds, locations and environments, on enterprise-grade distributed AI infrastructure built for global production workloads.

AI demands a distributed infrastructure

Build and scale your AI on the only vendor-neutral framework that connects every cloud, model and AI provider.

Your AI ecosystem is fragmented
AI depends on clouds, neoclouds, model providers, GPU vendors and infrastructure partners. But without orchestration, performance and scale suffer.
Global scale is harder than expected
Regulations, compliance requirements and data residency rules vary by country — and infrastructure that works in one region often fails the moment you cross a border.
Inference breaks down over distance
The further your agents run from your data, the slower and less reliable they get. Latency at scale is a performance and cost issue you can't engineer your way out of.
Sovereignty is mandatory
Training data, inference workloads and model outputs are subject to local laws. One cross-border data transfer can trigger a compliance violation you never saw coming.
Instant Assessment

Are you ready for distributed AI?

Evaluate key requirements across workload distribution, sovereignty, data accessibility, provisioning speed and cost.

01AI Workload Distribution
02Data Accessibility
03Provisioning Speed
04Sovereignty & Compliance
05Cost Predictability
Trusted by the leaders in AI
No single hyperscaler does everything. Your AI needs the best of all of them. Equinix gives you on-location access to the full capabilities of hyperscalers, enabling private and sovereign AI deployments with regional control.
Nvidia
Groq
Lambda
Nebius
Crusoe
“With the performance, flexibility and scalability of the new GPU cluster, Continental improved AI training time by 70% using IBM Spectrum® Scale and NVIDIA DGX systems [at Equinix].”
Head of AI Development Centre at Budapest
Continental AG, Business Area Autonomous Mobility
Case Study

Accelerate AI from proof-of-concept to production

Learn how Zetaris deployed distributed AI across 280 AI-ready data centers with liquid cooling, GPU access and production-ready infrastructure.

View case study
Continental

Run AI where the data lives

The global platform for distributed AI infrastructure that connects your data, models and compute across clouds, regions and environments, using low-latency interconnection.

6x

faster agentic rollouts
Zetaris, an AI lakehouse provider, accelerated agentic AI time-to-market using secure, distributed AI architecture built on Equinix.

22x

faster data transfer
AiHPC, a healthcare analytics company, accelerated movement of large healthcare datasets using high-bandwidth private connectivity.

10x

faster performance
Merck accelerated their computational performance with AI-ready infrastructure at Equinix.

Built on the world's largest ecosystem of partners, providers and enterprises

The most comprehensive vendor-neutral framework connecting every cloud, model and AI provider. No lock-in. No complexity. No limits.

Analyst report
“Enterprises that fail to adopt a distributed AI strategy will find themselves at a competitive disadvantage in an increasingly intelligent and automated world.”
Dave McCarthyResearch Vice President, Cloud and Edge Services, Worldwide Infrastructure Research at IDC.

Deploy Distributed AI without sovereignty, cost or vendor constraints

Deploy AI across 280 global data centers connecting your data, models and AI ecosystem from cloud to edge.