Alembic becomes first Causal AI company to secure NVIDIA DGX SuperPODs with DGX Vera Rubin NVL72 systems for enterprise decision making
Published: 6/17/2026
Building on its Equinix footprint and a new relationship with WWT, Alembic delivers a complete NVIDIA-powered enterprise AI motion, from large-scale causal computation to inference inside the data centers where customers' data already lives
San Francisco, CA, June 17, 2026: Alembic, the pioneering Causal AI platform, today announced it has secured NVIDIA DGX SuperPODs with DGX Vera Rubin NVL72 systems, and NVIDIA Mission Control software, becoming the first Causal AI company to privately own NVIDIA's most advanced generation of AI compute infrastructure for enterprise-grade intelligence. Building on its established relationship with Equinix, Alembic delivers inference inside the global network of data centers where enterprise data already lives. And through a new relationship with World Wide Technology (WWT), Alembic extends that reach into secure and regulated environments. Together, these relationships form a complete enterprise AI motion, from large-scale causal computation to secure deployment wherever an enterprise's data resides. The announcements arrive as the marketing industry convenes at Cannes Lions, where measurement, attribution, and AI effectiveness once again dominate the agenda.
The problem better dashboards have not solved
Enterprise executives have never had more data. And yet the question that matters most, why did this outcome happen and what should we do differently, has remained stubbornly out of reach.
The bottleneck has always been computational.
Answering true causal questions across an enterprise's data environment requires processing a level of complexity that most AI measurement platforms were never architected to handle. Across channels, markets, audiences, timeframes, and the interaction effects between all of them, the math becomes prohibitive fast. The workaround has been simplification: fewer variables, faster approximations, narrower scope. The result is a measurement industry built largely on sophisticated correlation, presented as causation.
What NVIDIA DGX SuperPOD with DGX Vera Rubin NVL72 systems unlocks for customers
NVIDIA DGX SuperPOD with DGX Vera Rubin NVL72 systems represents the most powerful AI compute infrastructure available today.
With access to Vera Rubin infrastructure, Alembic can digest enterprise data at scale and run billions of counterfactuals to establish the causal relationship between minute decisions and business outcomes, across every channel, every signal, and every market condition, without the simplifying assumptions that constrain competing approaches. The infrastructure does not force Alembic to choose what to leave out. It can hold all of it.
For a CMO, this is concrete. Alembic can establish causal proof of whether something as opaque as a logo in a stadium did or did not drive a business outcome, down to placement-level detail. Instead of learning which channels merely correlate with strong quarters, organizations get a single source of unbiased truth on what actually drove a performance shift, where capital is being wasted, and what to do about it before the next one. This is not an incremental improvement on existing measurement. It is a different answer to a different question.
“Causal AI is the missing layer in enterprise decision-making, and marketing is where that gap is most visible and most costly. But the infrastructure we have assembled with NVIDIA, Equinix, and WWT is not built for a single use case. It is built for every line of business that needs to move from knowing what happened to understanding why. We are starting with CMOs because the need is urgent. The vision is the whole enterprise.”
Tomás Puig, CEO & Founder, Alembic
A line in the measurement landscape
The last few years have produced a wave of AI-powered measurement entrants, many claiming real-time causal insight. Most are built on signal-based inference models, lightweight approaches optimized for speed and accessibility but constrained by what they can actually process. They approximate causation. They do not establish it.
Alembic is different by construction: a mathematical model, powered by patented causal algorithms, with a model intelligence layer that lets customers interact with the causal insights it derives. Establishing true causal relationships across the complete complexity of an enterprise's data environment requires, and now has, the infrastructure to match. Securing DGX SuperPODs with DGX Vera Rubin NVL72 systems is, in part, a statement about the class of problem Alembic is solving.
The difference shows up in practice. Working with one of the world's largest snacking and consumer goods companies, a brand operating in more than 140 countries, Alembic set out to solve a problem the measurement industry had never cracked: connecting earned, community-driven momentum to actual sales. Alembic's model ingested vast volumes of unstructured data, including public conversation, and established what started a conversation, what amplified it, what detracted from it, and what ultimately converted it into commercial outcomes.
In one instance, a public figure spontaneously posted about one of the company's products, another well-known figure amplified it, and an organic community formed around the moment. Conventional measurement would have logged it as positive buzz and stopped there. Alembic established the full causal chain: which post was the true starter, what enhanced and what detracted from the momentum, and how it moved sales at a specific retailer. That is the distinction between observing correlation and proving causation, and it is what gave the company the confidence to scale a community-first model across its global portfolio.
Built for the enterprise, deployed on enterprise terms
Alembic spans both software and hardware, and customers can adopt it modularly or as a full stack. For organizations prioritizing speed to value, Alembic's software delivers Causal AI on NVIDIA-accelerated infrastructure with no deployment overhead.
For enterprises that need intelligence delivered inside their existing infrastructure, Alembic's established relationship with Equinix changes what is possible. Most large organizations already operate inside Equinix data centers, where their marketing data, customer data platforms, and data warehouses live. Alembic deploys inference directly into that environment, on NVIDIA infrastructure, so insight is delivered where the data already is. No data movement. No new cloud contracts. No additional security review. With Equinix operating across more than 280 data centers in over 77 metros globally, this reach extends to virtually every major enterprise market.
For the most regulated industries requiring fully air-gapped or sovereign environments, Alembic software can be deployed directly into customer-controlled infrastructure using NVIDIA-validated reference architectures. Through a new relationship with World Wide Technology (WWT), Alembic adds the integration and deployment expertise to stand this up on each enterprise's own terms.
“The questions executives and business leaders are asking today demand a new class of infrastructure to answer them. Alembic is building the full stack to deliver on what Causal AI actually promises at enterprise scale, and their investment in Vera Rubin reflects how seriously they are taking that mandate.”
Jamie Allan, Director of AdTech, Sports, and Enterprise Media, NVIDIA
“AI is only as powerful as its proximity to data and the ecosystems around it. Equinix puts Alembic at the center of both, inside a high-density, GPU-ready environment enhanced by Equinix Fabric’s seamless connectivity and Equinix Managed Solutions’ operational expertise, where the world’s leading networks, partners and enterprises already interconnect, making AI actionable at scale.”
Leanne Starace, SVP Americas, Equinix
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