As enterprises move artificial intelligence beyond experimentation, the infrastructure behind those deployments is becoming more complex. AI workloads increasingly span data centers, public clouds, specialized AI providers and multiple geographic locations, creating a new set of decisions around connectivity, performance and where infrastructure should run.
That shift is also changing how digital infrastructure companies position themselves to enterprise customers. Equinix is expanding beyond the traditional data center conversation, building a broader portfolio around distributed AI, interconnection and the infrastructure enterprises need as AI moves into production.
Against that backdrop, Equinix has appointed DD Dasgupta as Chief Marketing Officer, promoting an executive who has already spent the past two years shaping how the company brings those infrastructure solutions to market.
Dasgupta joined Equinix in 2024 as Vice President of Product and Solution Marketing and has led the expansion of its customer-focused solutions portfolio. In his new role, he will report to Shane Paladin, Chief Customer and Revenue Officer, as Equinix looks to connect its growing technology portfolio more closely with the changing infrastructure priorities of enterprise customers.
Bringing Infrastructure Experience Into the CMO Role
Dasgupta brings more than 25 years of experience spanning networking, cloud, SaaS, servers, storage, observability and security. That technical background gives the appointment a different dimension at a time when marketing enterprise infrastructure increasingly requires translating complex technology into clear business outcomes.
Before joining Equinix, Dasgupta led product management and product marketing for Cisco’s data center portfolio. His responsibilities covered networking, servers, storage and SaaS automation, giving him experience across many of the technologies now converging around enterprise AI infrastructure.
Earlier, he was the founding CMO of Avi Networks, where he helped take the company from stealth through its acquisition by VMware in 2019. His career also includes leadership positions at Juniper Networks, HP and Nortel Networks across marketing, product management and software engineering.
That combination of engineering, product and marketing experience is particularly relevant to where Equinix is heading. The company is no longer communicating only around colocation and connectivity. Its portfolio increasingly sits at the intersection of cloud, networking, AI infrastructure and the distributed environments enterprises are trying to manage.
Paladin pointed directly to that shift in announcing the appointment, highlighting Dasgupta’s infrastructure and networking experience as customers rethink their architectures for AI inference.
Equinix Is Building Around Distributed AI
The appointment comes during an active period in Equinix’s AI strategy.
Earlier this month, the company announced Equinix Inference Exchange, developed through an expanded collaboration with NVIDIA and a new relationship with Together AI. The offering is designed to help enterprises run inference closer to their data, users and applications while maintaining access to different clouds, networks and AI providers.
That follows the launch of the Distributed AI Hub earlier this year, which gives enterprises a framework for connecting data, compute, cloud platforms and AI services across distributed environments. Equinix has also introduced Fabric Intelligence, an AI-native operational layer designed to automate how connectivity is provisioned, optimized and maintained across infrastructure.
The physical footprint supporting those products is expanding as well. Equinix currently operates more than 280 data centers across 77 markets and continues to add capacity in regions including Asia-Pacific, Europe and the Americas. Its expansion pipeline includes new facilities planned for Singapore, Johor, São Paulo, London, Osaka and other major markets.
In June, Equinix also expanded its collaboration with Cisco and NVIDIA to support secure AI factory deployments across its global data center footprint. The initiative gives enterprises environments where AI infrastructure can be tested and validated before moving into broader production.
Together, those moves show why the CMO appointment is more significant than a routine leadership change. Equinix has an increasingly broad AI infrastructure story to take to customers, and Dasgupta will be responsible for helping turn that portfolio into a clearer market proposition.
From AI Experimentation to Infrastructure Decisions
Enterprise AI is entering a stage where infrastructure choices have greater consequences.
Running a proof of concept is very different from supporting AI across a global organization. Once models reach production, enterprises have to consider where inference takes place, how data moves between environments, which providers they connect to and how performance, security and governance are maintained across locations.
Equinix is positioning its neutral infrastructure and interconnection model around those requirements. The company says more than 10,500 businesses are connected across its ecosystem, while eight of the top 10 AI model providers and nine of the top 10 AI clouds have deployments within Equinix.
The commercial opportunity is already showing up in its broader performance. Equinix reported second-quarter 2026 revenue of $2.625 billion, up 16% year over year, and said customer demand was growing across networking, cloud and AI infrastructure. At the end of the quarter, the company had 52 expansion projects underway across 33 markets.
For Dasgupta, the task will be to connect those investments with the problems enterprises are actually trying to solve. That means communicating not only what Equinix operates, but why its combination of data centers, connectivity and partner ecosystems becomes more valuable as AI infrastructure grows increasingly distributed.
A Marketing Role Tied Closely to Equinix’s Next Phase
Dasgupta’s promotion comes at a point when the boundary between infrastructure strategy and AI strategy is becoming harder to separate.
Enterprises moving from pilots into production need more than access to models and GPUs. They need infrastructure that can connect private environments, public clouds, AI platforms and data across multiple locations without creating another layer of operational complexity.
For Equinix, that creates an opportunity to position itself as part of the foundation connecting those environments rather than simply the location where hardware is housed.
Dasgupta has already spent two years helping shape that portfolio from the product and solution marketing side. Moving him into the CMO role gives him a broader mandate as Equinix takes that strategy to more than 10,000 customers worldwide.
The appointment therefore arrives at a meaningful point in the company’s evolution. Equinix is expanding its physical footprint while simultaneously building new products and partnerships around distributed AI, inference and intelligent networking.
The challenge now is making those pieces understandable as one strategy.
As enterprises make the much harder transition from experimenting with AI to operating it at scale, Dasgupta will be responsible for helping Equinix make the case that the infrastructure connecting everything together is becoming just as important as the AI itself.