Lancium, the Texas energy-infrastructure company behind the Abilene campus that anchors the Stargate buildout, has signed a strategic collaboration with NVIDIA that makes its entire portfolio a deployment platform for NVIDIA’s full AI factory stack, the company announced on August 24, 2026. NVIDIA has also taken a direct equity stake in Lancium, which is backed by Blackstone’s energy-transition and multi-asset funds.
The agreement ties together the two scarcest inputs in AI right now: power and the chips that consume it. Lancium brings 4 gigawatts of leased capacity and a development pipeline exceeding 15 gigawatts of powered land. NVIDIA brings the accelerated computing, networking, and software that cloud providers and AI labs are trying to site. Under the partnership, Lancium’s campuses become strategic deployment sites for that full stack, giving NVIDIA’s customers and partners access to large-scale, power-ready capacity.
“We have spent years assembling the power, the land, and the infrastructure expertise needed to deliver AI data center capacity at a scale the world has never seen,” said Michael McNamara, Lancium’s CEO and co-founder, in the announcement. “Partnering with NVIDIA — the definitive technology platform for AI computing — ensures that every campus in our portfolio will be deployed with the industry’s most advanced technology.”
NVIDIA’s Nico Caprez, vice president of global AI infrastructure growth, framed the deal around speed: enabling cloud partners, AI-native companies, and infrastructure developers to deploy the full NVIDIA computing stack faster and “turn energy into intelligence at unprecedented scale.”
What the DSX Platform Brings to Lancium’s Campuses
The technical core of the deal is NVIDIA’s DSX platform, a set of reference designs and software that NVIDIA positions as a playbook for building AI factories. Lancium will deploy two components named in the announcement.
DSX MaxLPS is a suite of power-management technologies that, according to NVIDIA, lets operators run up to 40% more GPUs within the same power budget by combining 45-degree-Celsius liquid cooling with in-rack optimizations that hold GPUs at their most energy-efficient operating point. For a developer whose binding constraint is megawatts, not square footage, that figure is the entire pitch: the same interconnection agreement yields meaningfully more compute.
DSX Flex addresses the other side of the meter. It connects the AI factory to grid services, dynamically adjusting power consumption in response to utility signals like load shedding, demand response, and pricing events, and orchestrating across utility power, onsite renewables, and storage. That maps directly onto Lancium’s existing model of grid-responsive campuses that act as assets to the grid rather than pure loads.
Lancium’s Portfolio, by the Numbers
The scale figures in the announcement:
- 4 GW of capacity under lease across Lancium’s campuses
- 15+ GW of powered land in the development pipeline
- 1.2 GW at the flagship Abilene campus, which serves as the first operational Stargate site
- 1 GW planned at the Childress, Texas campus announced with Crusoe in July 2026
- Up to 40% more GPUs per fixed power budget under DSX MaxLPS, per NVIDIA’s figures
Lancium’s campuses are in Texas and connect through ERCOT, with behind-the-meter solar and battery storage integrated into the power plan. The company’s model is to own the land and the energy infrastructure, then partner with operators like Crusoe, which designs, builds, and runs the data center itself.
The Investment Behind the Partnership
The announcement confirms NVIDIA has made a strategic investment in Lancium without disclosing the amount. That confirmation lands two and a half weeks after The Information reported, via Reuters on August 7, 2026, that NVIDIA planned to invest up to $3 billion: an initial $2 billion for roughly a 20% stake, with a further $1 billion contingent on milestones including grid hookups, at an enterprise value around $10 billion. Neither company confirmed those figures at the time, and the August 24 announcement does not restate them, so the reported terms remain unconfirmed by either party.
Lancium is a Blackstone portfolio company, backed by funds managed by Blackstone Energy Transition Partners and Blackstone Multi-Asset Investing. Blackstone has invested over $29 billion of equity across energy-transition sectors, and its senior managing director Bilal Khan called the NVIDIA partnership a validation of Lancium’s position at the intersection of energy and AI infrastructure, two of the firm’s highest-conviction themes.
Why the Power Side Is Drawing Chip Money
NVIDIA has been moving down the infrastructure stack for months, and this deal fits the pattern. In May 2026 it launched the DSX platform with reference designs now being adopted by cloud partners including CoreWeave, Crusoe, IREN, Lambda, and Nebius. Days before the Lancium announcement, NVIDIA took a minority stake in Cloverleaf Infrastructure, another power-and-land developer, as we reported on August 21, 2026. Earlier this year it also signed partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR aimed at mobilizing over $500 billion of third-party capital for AI infrastructure.
The logic is consistent: NVIDIA’s growth is gated by how fast power-ready data center capacity comes online, so it is putting capital and reference designs into the companies that control the power. Lancium is the clearest expression of that strategy yet, because its campuses are already leased or in late-stage development rather than aspirational. The Abilene site is energizing buildings for Stargate now; Childress is expected to begin construction in the third quarter of 2026; and Lancium holds a $600 million debt facility secured in October 2025 to fund campus development.
The next observable milestones are the Childress construction start and any SEC-filed disclosure of the NVIDIA investment’s size, which would surface if Lancium pursues the 2027 IPO that the earlier report described. For now, the partnership converts Lancium’s power portfolio into a named distribution channel for NVIDIA’s AI factory stack, and gives NVIDIA a direct stake in the company deciding where a meaningful slice of US AI compute gets plugged in.
