As enterprises accelerate adoption of agentic AI but struggle with fragmented infrastructure, Equinix has unveiled a new Distributed AI Hub to simplify how organisations connect, secure and scale AI workloads across clouds, data centres and edge environments.
Powered by Equinix Fabric Intelligence, the hub provides a unified framework that enables enterprises to access AI infrastructure—including model providers, GPU clouds, data platforms, networking and security services—through private, low-latency connectivity across the company’s global network of 280 data centres.
The platform is designed as a vendor-neutral ecosystem, allowing enterprises to build customised AI stacks without being locked into a single hyperscaler.
The launch comes at a time when companies are increasingly deploying AI systems across multiple environments, creating operational complexity and governance challenges.
“Enterprises are racing to deploy agentic AI but are finding that their existing infrastructure was never designed for the complexities of distributed intelligence,” Mary Johnston Turner, Research Vice President for Digital Infrastructure Strategies at IDC, said. “By 2027, IDC expects 80% of enterprises will deploy distributed edge infrastructure to improve the latency and responsiveness of AI applications. Enterprises will need solutions like Equinix’s Distributed AI Hub to enable them to unify these disparate systems.”
According to Equinix, modern AI workflows span public clouds, private data centres, edge systems and emerging neocloud providers, making it difficult for enterprises to run workloads close to data sources while maintaining governance and performance consistency.
“AI isn’t centralised—but the right infrastructure can make it run as seamlessly as if it were,” Jon Lin, Chief Business Officer at Equinix, said. “Equinix is the neutral ground where AI, cloud and networking infrastructure converge. We are providing enterprises the freedom to build and scale AI wherever their data, partners, and teams already live… With our Distributed AI Hub, we’re giving customers a simpler, smarter, and far more connected way to run and scale their AI today.”
A key component of the launch is integration with Palo Alto Networks, enabling real-time threat detection and policy enforcement for AI workloads through Prisma AIRS security capabilities. The integration allows enterprises to monitor AI interactions, secure model activity, and enforce governance policies across distributed environments, including deployments via Equinix Network Edge closer to users and applications.
Industry observers say the move reflects a broader shift towards infrastructure architectures built specifically for distributed AI operations.
“The conversation around distributed AI is finally getting real,” said Lloyd Taylor, CTO/CISO at Alembic Technologies. “It’s more than compute and data, it’s controlling where the data lives and how the compute runs. Equinix is framing that problem the right way… This is what makes distributed AI viable at enterprise scale.”
The Distributed AI Hub is now available globally across Equinix’s data centre footprint, with the company set to preview the platform at the upcoming NVIDIA GTC conference.
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