EQIXEquinix, Inc.

“our Internet connection revenue growth was at 9% on a normalized and constant currency basis. Fabric revenue growth was at 26%, and our fabric bookings grew 74% year-over-year. And this kind of growth, the value proposition that we're delivering to customers is really behind our investment strategy around our distributed hub and our fabric intelligence, which is in pre-preview with a number of customers and partners who are very positive about the outcomes that we're driving with this solution set.”

“Cupid Pharmaceuticals are quantum AI-driven drug discovery company relies on Equinix for the high-performance, low-latency infrastructure required to run millions of GPU-intensive molecular simulations. By deploying a dedicated GPU cluster in Equinix data centers with direct cloud interconnection, Cupid has reduced experimental cycles by 20x whilst lowering cost by a factor of 5.”

“we had quite a significant quarter in Q1 as it relates to liquid cooling orders generally, of which Maersk was one I believe it was a 50% growth in terms of our liquid cooling deployments. And today, we have 36 deployments across our footprint of customers using liquid cooling to facilitate the workload and density of the systems that they have put in place.”

“Total interconnection revenue was up 9% year-over-year in Q1 and boosted by fabric revenue growth of 26% year-over-year. Fabric bookings were up 70% year-over-year as our attach rate continues to increase.”

“Consistent with the prior quarter, approximately 60% of our largest deals in Q1 were AI-related. Additionally, large capacity fabric connections have tripled from just a year ago.”

“I am especially pleased with the strength of the position we are building across the AI inferencing ecosystem. The expansion of our relationships with the world's leading hyperscalers, Neo Cloud, AI security vendors and model providers serves as a magnet for agentic AI workloads. 8 of the top 10 AI model providers and 4 of the top 5 Neo clouds are actively expanding with Equinix. They have placed more than 110 separate network nodes with us to support mission-critical and latency sensitive elements of their architectures.”

“Equinix Fabric Intelligence solved these problems by monitoring network performance in real time automatically adjusting configurations and flagging anomalies before they become outages, all without human intervention. Unlike other network management tools that sit on top of the network fabric intelligence is built directly into our fabric interconnection platform. This is a structural competitive advantage given the more than 500,000 live interconnections across our ecosystem.”

“I think probably the availability of power would be the largest constraint in our environment. So as densification increases, quite often, we would need to put some space on hold around that particular implementation in order to ensure that IBX, we're meeting not only the obligations of the workload that is the highly dense workload, but also the service level agreements and the obligations that we have with the other customers who are sharing that space and power.”

“Gammon construction, a leading construction and engineering services company in Asia chose Equinix because of our neutral platform, presence across major metros and connectivity solutions to enable their multi-cloud AI platform. They are using our fabric interconnection portfolio to power their network infrastructure. which is the base for inhibitive solutions such as AI-powered robotics and drones for on-site risk assessments and smarter decision-making.”

“The Equinix distributed AI hub, which we introduced at NVIDIA GTC solves this by getting enterprises a single private low latency connection to the entire AI ecosystem. Unlike AI marketplaces built by providers with their own services to sell our distributed AI hub is completely neutral, providing access to all models and cloud so customers can select what's best for them.”

“it was 8 of the 10 AI model providers, the LLMs and 4 of the 5 Neo clouds have deployed between the 110 or so separate network nodes to Equinix. And that is in addition to all of the nodes that we see that are being deployed by the hyperscalers in order to manage their connectivity journey.”

“It's about network outs that provide connectivity to the CSPs and the NSPs for the NEOs and the L&M. It's about AI inference notes for densely populated metro so a little bit of a different picture. And it's about fabric access to the enterprise customer base of Equinix.”

“We are enabling options IT to deliver private cloud and AI managed infrastructure solutions to grow their business whilst meeting the date of sovereignty requirements of their customers.”

“Maersk recently selected Equinix as its primary data center partner to support high-performance and AI workloads, including its first liquid-cooled AI deployments in Frankfurt.”

“When we look at the role of the neos here, we can see that for many of them, their journey is evolving a little -- their value proposition was always based on pricing and based on GPU access and largely facilitating large-term training footprint. Mostly focus with the SaaS and the hyperscaler. As we can see, they're transforming into AI offerings workloads and looking to pursue enterprise customers and medium-sized SaaS companies. we see them as potential inference magnets for our ecosystem going forward.”

“I think as we talk to CIOs, it's a conversation that is less about on-prem and cloud and more about the journey from token management, token cost all the way through to those kind of sovereign data controls that ensure that the organization is compliant to whatever set of data governance rules that they have in place for their own business.”

“the reality is that most enterprise architectures are not optimized for these workflows. Agents need private low-latency paths to data wherever it lives. They perform best at the edge. Closest to where the decisions get made. And they must be able to move freely across models and clouds whilst staying within jurisdictional boundaries.”

“Inference has grown from experimental workloads to an engine of real-time business decision-making. An AgenticAI is moving from demos into distributed deployments with agents acting autonomously to achieve business outcomes.”

“Over the course of the past year, my conversations with customers have changed. A year ago, they were about piloting AI. Now our conversations are focused on enterprise-wide adoption at scale.”

“At Nord's footprint in key markets such as Copenhagen is complementary to our existing EMEA operations and is well positioned to serve enterprise, cloud and AI growth.”

“Our long-term view is that the region will continue to see growth in investment in digital infrastructure as the Middle East itself looks to position itself as a global AI hub.”

“We believe there is meaningful upside to come, given we are still in the early days of the agentic AI wave and inferencing adoption.”

“AI continues to fuel infrastructure investments that play to our strengths.”

“we are ready to power the AI agent workload.”