The data center giant is betting big on AI workloads, with 60% of its largest contracts now tied to artificial intelligence
Equinix operates over 260 data centers across more than 33 countries. The company has spent the last two years methodically converting that footprint into AI-ready real estate.
A $15 billion joint venture sets the tone #
In October 2024, Equinix announced a joint venture with GIC and the Canada Pension Plan Investment Board to raise over $15B for U.S.-based hyperscale data center expansion.
The JV was designed to nearly triple the investment capacity of Equinix’s xScale program, which targets the large-footprint cloud and AI compute needs of hyperscalers like the major cloud providers.
CEO Adaire Fox-Martin has since confirmed that approximately 60% of the company’s largest contracts now involve AI-related workloads.
From colocation to AI operating system #
In March 2026, Equinix launched its Distributed AI Hub, designed to help enterprises deploy AI workloads across multiple geographic locations without managing the underlying networking complexity themselves.
In April 2026, the company introduced Fabric Intelligence, a platform aimed at simplifying the way enterprises connect AI infrastructure components.
In June 2026, Equinix formalized a partnership with Cisco and NVIDIA to deploy secure AI factories across its global network. The Cisco angle handles network security and orchestration. The NVIDIA angle provides the GPU compute reference architecture. Equinix provides the physical location and interconnection fabric that ties it together.
The crypto and Bitcoin mining connection #
In March 2025, Block became the first North American firm to deploy an NVIDIA DGX SuperPOD with GB200 systems inside an Equinix facility, using the deployment for generative AI research.
Bitcoin mining and AI training share surprisingly similar infrastructure requirements, specifically high-density power delivery, precision cooling, and low-latency connectivity. Several publicly listed Bitcoin miners have announced pivots or partial conversions of their facilities toward high-performance computing and AI workloads, citing the infrastructure compatibility.
What this means for investors and the broader market #
The 60% AI contract figure is the key metric to watch going forward. If that share continues to grow, it suggests Equinix is successfully migrating its revenue base from slower-growth traditional colocation toward AI workloads that command premium pricing and longer contract terms.
The $15B JV structure also insulates Equinix’s balance sheet from some of the capital expenditure burden of hyperscale buildout, while still allowing the company to capture management fees and operating revenue from the expanded footprint.
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