Where inference runs can impact performance
Place inference closer to users, data and cloud on-ramps with private, low-latency interconnection that avoids public internet bottlenecks.
Why Distributed Inference?
Where inference runs determines performance, cost and control
Centralized infrastructure can’t meet the demands of real-time decisioning near data sources and users. Equinix’s global footprint places inference closer to where data is created and users live.
The cost of inference is the cost of distance
Reduce backhaul, egress and repeated calls by running inference where the data and users already are.
Deploy globally with regional control
Run inference in-region to support data residency, compliance and performance requirements by architecture, not exception handling.
Reach the AI ecosystem without rebuilding
Connect to clouds, model providers, neoclouds and networks through a neutral digital infrastructure.
How Equinix Enables Distributed Inference
Inference is a placement problem
Training favors centralized compute. Production inference follows users, data and regional requirements. Equinix places AI-ready infrastructure in strategic metros and connects workloads privately to clouds, models and services, so enterprises can run inference where it performs best without rebuilding the entire AI stack in every market.
Place inference closer to users and data
Deploy inference in metro locations near demand to reduce latency, backhaul and unnecessary data movement.
Connect every part of the AI stack privately
Use Equinix Fabric® to connect inference workloads to enterprise data, clouds, models, networks and AI service providers through private, high-performance interconnection.
Run AI at scale
Reach every cloud, provider and region through one neutral digital infrastructure, optimizing cost, sovereignty and provider choice while scaling.
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AI Data centersIntroducing the Equinix® Inference Exchange
A new program to deploy compute from leading inference providers and neoclouds at our distributed metros. This combines Equinix AI Infrastructure and services, pre-connected to customer data across every major model, cloud, and AI provider.
Distributed Infrastructure
Equinix infrastructure and services scale inference workloads across major IBX metros where users and data live.
Seamless Integration
Secure access to a growing set of inference providers like Together AI, with flexibility to optimize every AI workload.
Resilient Performance
Proven platforms like NVIDIA Enterprise Reference Architectures deliver better uptime, GPU utilization, and resilient performance.
Unmatched Connectivity
Pre-connected access to customer data across major models, clouds, and AI service providers.
The partnership
Enterprises already running inference on Equinix
We’ve always focused on meeting customers where they are. Hosting inside Equinix data centers—right next to their workloads—is central to that mission.
Joe Cappitelli General Manager, Dow Jones Newswires
