Equinix has launched a Distributed AI Hub to provide enterprises with a single framework to connect, secure and manage increasingly complex AI environments spread across clouds, data centres and edge locations.
Powered by Equinix Fabric Intelligence, the hub sits in Equinix’s 280 data centres globally and offers private, low-latency access to model providers, GPU clouds, data platforms, network and security services, and AI frameworks.
Positioned as a neutral meeting place for AI ecosystems, it lets enterprises run AI where it performs best without constantly rebuilding architectures or moving large datasets.
“AI isn’t centralised — but the right infrastructure can make it run as seamlessly as if it were. With our Distributed AI Hub, we’re giving customers a simpler, smarter, and far more connected way to run and scale their AI today,” said Jon Lin, Chief Business Officer of Equinix.
The hub unifies data, compute and cloud platforms in a vendor‑neutral environment, simplifying how enterprises connect models, move data and run inference close to users and data sources while maintaining consistent governance and control.
In its first major integration, the Distributed AI Hub will work with Palo Alto Networks to provide real‑time protection for AI agents and models interacting with external tools and data sources.
By combining Equinix’s private, high‑speed interconnection with Palo Alto Networks’ Prisma AIRS real‑time AI security and centralized policy enforcement, enterprises gain visibility and control over AI applications and data across any location.
Prisma AIRS will also be available on Equinix Network Edge, enabling enterprises to centrally manage AI‑driven security services at the digital edge, closer to users, clouds and critical workloads.
Distributed AI Hub is available immediately across Equinix’s global footprint of 280 high‑performance data centres, allowing enterprises to deploy consistent AI infrastructure patterns worldwide.
Entelechy Asia 