Equinix has launched the Distributed AI Hub, powered by Equinix Fabric Intelligence, to provide a unified framework for enterprises to connect and manage distributed AI infrastructure.

The Hub allows businesses to access AI infrastructure providers, including model companies, GPU clouds, data platforms, and network and security services, through private, low-latency connections across Equinix’s 280 data centres.

The Hub unifies distributed workflows, bringing together training data and inference workloads across public clouds, private data centres, edge locations, and specialised neoclouds, each with distinct performance and governance requirements.

This centralisation aims to reduce operational complexity and enable AI workloads to run closer to the data that drives them.

“AI isn’t centralised, but the right infrastructure can make it run as seamlessly as if it were,”

said Jon Lin, Chief Business Officer at Equinix.

“Equinix is the neutral ground where AI, cloud and networking infrastructure converge. With our Distributed AI Hub, we’re giving customers a simpler, smarter, and far more connected way to run and scale their AI today.”

The Hub’s first integration with Palo Alto Networks allows enterprises to secure AI interactions and manage policy centrally, using Prisma AIRS on Equinix Network Edge.

Equinix now offers the Distributed AI Hub across its 280 global data centres and will preview it at NVIDIA GTC, Booth 1030.

Featured image credit: Edited by Fintech News Switzerland, based on image by thanyakij-12 via Freepik