Equinix Collaborates with Cisco and NVIDIA to Deploy AI Factories

Equinix, Inc., a Redwood City, California-based infrastructure company, has announced an expanded collaboration with Cisco and NVIDIA to accelerate enterprise AI. Working with its partners, the company will enable customers to deploy the Cisco Secure AI Factory with NVIDIA across its global network of high-performance data centers, providing customers with standardized AI factory blueprints and automation designed to simplify deployments.

Equinix is also partnering with Presidio to deploy their Programmable AI Technology Hub (P.A.T.H.) Lab, which provides an environment to test, validate and refine AI infrastructure before enterprise-wide rollout.

“The success of enterprise AI starts with its physical foundation,” said Gordon Mackintosh, Senior Vice President, Global Partner Sales and Ecosystems at Equinix. “Our collaboration with Cisco, NVIDIA and Presidio delivers the infrastructure AI workloads demand while giving customers a place to prove it out before they scale.”

By bringing the Cisco Secure AI Factory with NVIDIA into its global data centers, Equinix seeks to make it easier for customers to access the interconnection density, specialized power and advanced cooling customers and partners need to deploy the latest AI hardware and software at scale. These deployments are based on NVIDIA reference architectures.

“As agentic AI reshapes the industry, long-term success belongs to partner ecosystems that can adapt and innovate as rapidly as the technology itself,” said Cassie Roach, Cisco’s Global Vice President of Cloud and AI Infrastructure Partner Sales. “Our collaboration with Equinix, Presidio and NVIDIA to deliver the Cisco Secure AI Factory with NVIDIA illustrates how a trusted agile partner ecosystem can deliver secure, flexible AI infrastructure quickly to meet customers’ needs.”

Channel Impact^®
Through the combined expertise of Presidio, Cisco, NVIDIA and Equinix, partners and their enterprise customers can gain access to turnkey AI infrastructure proven to work across hybrid workloads, spanning public cloud, neocloud, on-premises, and colocation environments.