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Solving the placement problem: Distributed inference for production AI

Learn how Equinix Distributed AI™ helps you run production inference where your data originates and your users sit, instead of backhauling every request to a centralized cloud. Whether you are moving your first models into production or already running agentic workflows across regions, find out how dedicated inference pods inside neutral Equinix data centers reduce latency, keep regulated data in region and improve your cost per token.

What you’ll find inside:

  • Why centralized inference creates latency, compliance and cost challenges for production AI workloads.
  • How Equinix Distributed AI™ uses dedicated inference pods in neutral metro data centers to move compute closer to data, users and regulations.
  • How private connectivity via Equinix Fabric® helps replace unpredictable public internet routing with secure, deterministic performance.
  • Real-world results from Dow Jones Newswires, including microsecond-speed delivery, reduced public internet reliance and scalable expansion across financial hubs.
  • How distributed inference can help enterprises lower latency, maintain control and scale AI more efficiently.
Distributed AI