In $2 billion deal, NVIDIA takes 20% stake in Woodlands-based Lancium

power play

Lancium has partnered with AI leader NVIDIA. Photo courtesy Lancium

With an initial investment of $2 billion, AI chip manufacturer NVIDIA just acquired a 20 percent stake in The Woodlands-based Lancium, which develops large-scale campuses that combine AI data centers and onsite power supplies.

Lancium recently announced the investment but didn’t disclose the dollar amount. The Information news website reported NVIDIA’s investment totaled $2 billion, with the possibility of an additional $1 billion if Lancium achieves certain milestones.

Dealroom.co calls NVIDIA’s investment a “form of supply-chain insurance.”

NVIDIA “is gaining exposure to the scarce physical assets that determine whether its chips can be deployed,” Dealroom.co says. “The move makes Nvidia look less like a pure chip company and more like an allocator of infrastructure capacity.”

Investment precedes possible IPO in 2027

Thanks to NVIDIA’s cash infusion, Lancium and its portfolio of land and power connections carry an enterprise value of about $10 billion, according to The Information.

The investment should enable Lancium to expand as it explores a potential IPO next year, The Information reported.

Neither Lancium nor NVIDIA is responding to requests for comment about the deal.

Lancium’s marquee project is a 1,000-acre data center and power generation campus in West Texas for the $500 billion Stargate initiative. Stargate, a joint venture comprising MGX, OpenAI, Oracle and SoftBank, is building data centers equipped to handle AI-level workloads.

“Epicenter of energy and AI infrastructure”

Founded in 2017, Lancium has 4 gigawatts of leased capacity and a more than 15-gigawatt development pipeline. In 2024, Blackstone Energy Transition Partners invested about $500 million in Lancium, giving Blackstone a roughly 50 percent stake.

“This partnership with NVIDIA is a strong testament to Lancium’s position at the epicenter of energy and AI infrastructure … . We look forward to continuing to partner with these leading companies to help power the next generation of AI innovation,” Bilal Khan, senior managing director at Blackstone, said in a release.

Through the NVIDIA partnership, Lancium’s data center and power generation campuses will use the tech company’s “AI factory” platform, including software, computing, and networking capabilities. This will give NVIDIA customers and partners access to power capacity that supports heavy AI workloads.

“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,” Michael McNamara, co-founder and CEO of Lancium, said in the release.

“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 and that NVIDIA’s customers will have access to the capacity they need to compete and lead in the AI era.”

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The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” to meet the demands of AI data centers. Photo courtesy UH

UH report projects $1 trillion in midstream infrastructure needed to power AI

midstream report

A new study from the University of Houston estimates that the U.S. will need more than $1 trillion in new midstream energy infrastructure investment by 2052 to meet the rising energy demands from data centers in the age of artificial intelligence.

According to the report, this would average $40 billion to $48 billion per year across investments in natural gas, oil, natural gas liquids, hydrogen and CO2 infrastructure.

UH, in collaboration with the INGAA Foundation and Wood and ESMIA Consultants, released the 2025 North American Midstream Infrastructure Report, which details the needs, pipelines and associated infrastructure necessary to meet global market needs and increased energy demands. UH led the consortium that conducted the analysis. Paul Doucette, hydrogen program officer at UH, served as the principal investigator of the report.

According to the U.S. Department of Energy, data center energy consumption could reach 800 terawatt-hours annually by 2050, a roughly 167 percent increase from 300 terawatt-hours in 2025. Meanwhile, electricity generation from all energy sources is projected to reach 5,858 terawatt-hours in 2052, a 27 percent increase over current levels.

The report proposes two routes to meeting this level of demand.

The first scenario is a reference case based on current federal, state and provincial policies as of April 1, 2025. The second option presents a low-carbon scenario. The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” in both scenarios.

“Meeting energy demand is a critical challenge right now, and this report quantifies the necessary midstream infrastructure and corresponding development dollars needed to meet that demand,” Hebe Shaw, executive director of the INGAA Foundation, said in a news release. “Meeting the energy needs of North America will require sustained investment and development, which must begin now to ensure a safe, reliable and affordable energy system.”

The report also identified several key midstream infrastructure requirements, including:

103,000 miles of new natural gas gathering pipelines
37,000 miles of additional natural gas transmission pipelines, which includes approximately 33,800 miles in the United States
24 million jobs over 25 years

The report adds that hydrogen, carbon capture, utilization, and storage (CCUS), and other decarbonization strategies can help meet infrastructure needs.

UH released a condensed version of the report here.

Houston's data center scene has received its latest bullish forecast. Photo via serverfarmllc.com

Houston data center capacity could more than double by 2028, CBRE report says

data analysis

The Houston market could more than double its data center capacity by the end of 2028, a new report indicates.

The report, published by commercial real estate services provider CBRE, says greater demand for data center capacity in the Houston area is being fueled by energy companies, along with large-scale cloud services and AI-driven tenants.

In the second half of 2025, the Houston market had 154 megawatts of data center capacity, which was on par with capacity in the second half of 2024. Another 28.5 megawatts of capacity was under construction during that period.

“Multiple providers are advancing new builds and redevelopments, including significant power upgrades to recently purchased buildings, underscoring long-term confidence even as the market works through elevated vacancy and uneven absorption,” CBRE says of Houston’s data center presence.

One project alone promises to significantly boost the Houston market’s data center capacity. Data center developer Serverfarm plans to use part of a $3 billion credit facility to build a 250-acre, AI-ready data center campus near Houston with a potential capacity of more than 500 megawatts. The Houston campus and two other Serverfarm projects are already leased to unidentified tenants, according to CoStar.

A 60-megawatt, AI-ready Serverfarm data center is under construction in Houston. The $137 million, 438,000-square-foot project, located near the former headquarters of computer manufacturer Compaq, is supposed to be completed in the third quarter of 2027.

Data Center Map identifies 59 data centers in the Houston area managed by 36 operators, including DataBank, Data Foundry, Digital Realty, IBM, Logix Fiber Networks, Lumen and TRG Datacenters. That compares with more than 180 data centers in Dallas-Fort Worth, more than 50 in the San Antonio area and 40 in the Austin area.

Texas is home to more than 400 data centers, according to Data Center Map.

In November, Google said it’s investing $40 billion to build AI data centers in West Texas and the Texas Panhandle.

“This is a Texas-sized investment in the future of our great state,” Gov. Greg Abbott said when Google’s commitment was announced. “Texas is the epicenter of AI development, where companies can pair innovation with expanding energy. Google's $40 billion investment makes Texas Google's largest investment in any state in the country and supports energy efficiency and workforce development in our state.”

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Texas outpaced the rest of the country in a new energy resilience report, despite grid challenges and rising AI demand. Photo courtesy of ERCOT

Texas claims No. 1 spot on new energy resilience report

A new report by mineral group Texas Royalty Brokers ranks Texas as the No. 1 most energy-resilient state.

The study focused on four main sources of electricity in hydroelectric dams, natural gas plants, nuclear reactors and petroleum facilities. Each state was given an Energy Resilience Score based on size and diversity of its power infrastructure, energy production and affordability for residents.

Texas earned a score of 71.3 on the report, outpacing much of the rest of the country. Pennsylvania came in at No. 2 with a score of 55.8, followed by New York (49.1) and California (48.4).

According to the report, Texas produces 11.7 percent of the country’s total energy, made possible by the state’s 141,000-megawatt power infrastructure—the largest in America.

Other key stats in the report for Texas included:

Per-capita consumption: 165,300 kWh per year
Per-capita expenditures: $5,130 annually
Total summer capacity: 141,200 megawatts

Despite recent failures in the ERCOT grid, including the 2021 power grid failure during Winter Storm Uri and continued power outages with climate events like 2024’s Hurricane Beryl that left 2.7 million without power, Texas still was able to land No. 1 on an energy resilience list. Texas has had the most weather-related power outages in the country in recent years, with 210 events from 2000 to 2023, according to an analysis by the nonprofit Climate Central. It's also the only state in the lower 48 with no major connections to neighboring states' power grids.

Still, the report argues that “(Texas’ infrastructure) is enough to provide energy to 140 million homes. In total, Texas operates 732 power facilities with over 3,000 generators spread across the state, so a single failure can’t knock out the entire grid here.”

The report acknowledges that a potential problem for Texas will be meeting the demands of AI data centers. Eric Winegar, managing partner at Texas Royalty Brokers, warns that these projects consume large amounts of energy and water.

According to another Texas Royalty Brokers report, Texas has 17 GPU cluster sites across the state, which is more than any other region in the United States. GPUs are specialized chips that run AI models and perform calculations.

"Energy resilience is especially important in the age of AI. The data centers that these technologies use are popping up across America, and they consume huge amounts of electricity. Some estimates even suggest that AI could account for 8% of total U.S. power consumption by 2030,” Winegar commented in the report. “We see that Texas is attracting most of these new facilities because it already has the infrastructure to support them. But we think the state needs to keep expanding capacity to meet growing demand."

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

Houston researchers develop energy-efficient film for AI chips

AI research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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This article originally appeared on our sister site, InnovationMap.

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Oxy inks long-term agreements for 2M tons of CO2 capture, transport

carbon contracts

Houston-based Occidental has made two long-term agreements that will expand its carbon management business in the Delaware Basin and the Permian Basin.

Oxy announced Nov. 9 that it has signed agreements with two unnamed project developers to capture and transport approximately 2 million metric tons of CO2 from their existing and new natural gas processing facilities in the Delaware Basin in West Texas annually. The CO2 will be transported for use in Oxy's enhanced oil recovery (EOR) operations in the Permian Basin.

“Securing reliable, long-term sources of CO2 supports Occidental’s advanced recovery strategy to extend the productive life of existing fields and enhance recovery across our conventional and unconventional resource base,” Vishal Gupta, president and general manager of EOR Ventures at Occidental, said in a news release. “The projects, once operational, will help diversify our CO2 supply, improve access to cost-effective resources and create infrastructure that can connect additional carbon capture projects over time. Federal 45Q incentives are an important support for these investments.”

According to the release, the projects have the potential to expand to handle up to 4 million metric tons of C02 per year combined. The first shipments to Oxy are expected in 2029. The unnamed developers will fund and build the infrastructure to capture, transport and deliver the CO2 to Oxy, the company shared in the release.

Additionally, the agreement stipulates that the projects will also include the build-out of nearly 100 miles of new CO2 pipeline infrastructure. The new pipeline is planned to connect with the existing CO2 pipeline network in the Permian Basin. Oxy adds that the pipelines are being designed to handle additional future capacity to "support future conventional and unconventional recovery opportunities" of CO2.

Oxy uses the EOR process to inject stored CO2 back into a producing oil fields to boost the site's performance. The recycled CO2 displaces trapped oil and gas and is then secured in the reservoir. Oxy says that EOR combined with Direct Air Capture (DAC) technology "remove[s] an amount of CO2 equivalent to that emitted during the production and consumption of [its] products."

Oxy subsidiary 1PointFive is developing a $1.3 billion DAC project in the Midland-Odessa area that is slated to be the largest facility of its kind in the world. Known as STRATOS, it's designed to capture up to 500,000 metric tons of CO2 per year. After a component delay, 1PointFive shared in May that it would ramp up operations at the project throughout 2026.

Houston researchers win prestigious DOE early career awards

Researchers at Rice University, the University of Houston and other Texas universities have been awarded the Department of Energy’s Early Career Award for their work in quantum science, AI and more.

Each professor who received the honor will be awarded $875,000 over five years to continue their work.

The Houston-area recipients include:

James Shee, assistant professor of chemistry at Rice University
Tony Geng, assistant professor of electrical and computer engineering at Rice
Naihao Chiang, assistant professor in the department of chemistry at the University of Houston

For Shee, the award will support his work to advance a “first principles platform to simulate the quantum dynamics of chemical systems of relevance to sustainable energy consumption and generation,” according to a news release from Rice.

“Support from the Department of Energy will enable my group to pursue the ambitious quantum chemistry development required to simulate the dynamics of transition metal-based molecular computing paradigms and multi-excitonic processes in a purely ab initio manner,” Shee said in the release.

Geng is developing next-generation AI for real-time digital twins for scientific systems. Geng and his team will make microchips that function as trainable electronic dynamical systems computing through natural, continuous evolution rather than digital instructions, according to the university.

Chiang’s work at UH addresses the DOE’s Quantum Information Science priority. Chiang leads a team that develops and applies “plasmonic-enhanced near-field optical techniques” to investigate fundamental light-matter interactions at the quantum limit before applying them to emerging technologies. In addition, the team will use AI to help with data acquisition and will utilize STEM workforce development.

Dr. Joshua Burby, an assistant professor in the Department of Physics at the University of Texas at Austin, and Junyeong Ahn, who is part of the University’s Texas Quantum Institute, also received early career awards for their work in superconducting and fusion technologies. See the full list of recipients from around the country here.

“The energy and creativity of early-career scientists is crucial for propelling scientific discovery forward. The Department of Energy is committed to nurturing this talent through programs like the Early Career Research Program,” Darío Gil, DOE under secretary for science, added in a release. “These awards provide essential resources and opportunities for collaboration, enabling these researchers to explore novel concepts and accelerate the development of solutions for our nation’s energy and scientific landscape.”

The DOE has also doled out funding to Houston researchers and companies in recent months through its Genesis Mission and geothermal initiatives.

Researchers from Rice, UH and Halliburton were named in July among the nearly 300 projects selected under the Trump administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country

In September, three Houston companies also received more than $45 million in funding from the DOE's Next-Generation Geothermal Field Tests and Geothermal Resource Characterization and Confirmation initiative to advance geothermal technologies and field tests. The projects were among 21 selected from around the country to receive a total of $99 million. Read more here.

Elon Musk's Tesla to cease cybertruck production in 2027

Tesla Talk

Tesla’s Cybertruck, the hulking, stainless-steel pickup that inspired devotion and derision with its science-fiction looks, will cease production next year.

CEO Elon Musk announced the model’s demise Friday, November 6, with a curt post on X, his social media site, simply noting production of the vehicle “will be winding down” around the middle of 2027 at its facility outside Austin, Texas. Musk said the move was to allow increased production of its Cybercab robotaxi.

For the Cybertruck, a pet project of Musk who insisted it was Tesla’s best product, it marks an unceremonious end to one of the auto industry’s most ballyhooed debuts.

“Few vehicles in history have generated as much attention,” said Armen Hareyan, whose Torque News site covers autos. “The Cybertruck became a cultural symbol – loved, mocked and impossible to ignore.”

The Cybertruck rolled onto the scene in a dramatic unveiling in 2019, when a Tesla designer hurled a metal ball at the vehicle to demonstrate its supposedly unbreakable glass, only to see it shatter. He repeated the stunt on another window of the truck only to shatter that one, too.

Even as some critics scoffed, Musk was steadfast.

“I just wanted to make a futuristic battle tank — something that looks like it could come out of ‘Blade Runner’ or ‘Aliens’ or something like that but was also highly functional,” he told Automotive News. He called it “a better sports car than a Porsche 911” and “a better truck than an F-150.”

It struck some as the perfect vehicular reflection of the brash, convention-busting Musk.

“A really controversial vehicle unveiled by a controversial individual into a market where none of the electric trucks have been able to really capture demand,” said Spencer Penn, a former Tesla executive who left the company before the Cybertruck’s launch and now heads software developer LightSource.

Penn remembered watching the unveiling and feeling initially revolted by the sight of the Cybertruck, calling its appearance “madness.” But the more he looked at it, the more his opinion changed. He signed up for a pre-sale reservation, though ended up not getting a Cybertruck when Musk’s promises of a price tag under $40,000 went unmet and the first trucks sold for double or more. Penn called the Cybertruck part of Tesla’s adventurous spirit that drives innovation.

“Some of these bets work and some of these bets don’t,” he said.

While the decision to end Cybertruck production may be driven by sales realities, it's also a reflection of Tesla’s shift to autonomous vehicles, on which Musk is betting the company’s future.

Musk once forecast he’d make 250,000 Cybertrucks a year. Kelley Blue Book estimated Tesla sold just 20,237 of the vehicles last year, down about half from the year prior. Sales through the end of September this year were down another 28%, according to Kelley Blue Book.

If the imposing, sharp-angled, dystopian appearance of the Cybertruck weren’t enough to turn many potential buyers away, Musk did so himself by allying with a panoply of right-wing figures, most notably U.S. President Donald Trump. He alienated some customers as his image morphed from eccentric innovator to polarizing force trading his billions for political influence.

Once-passionate Tesla drivers rushed to sell off their cars, or slapped stickers on the bumper declaring, “I bought this before Elon went crazy.” Organizers staged demonstrations outside Tesla showrooms and urged investors to dump shares of the company’s stock. Anger spilled into violence, with Molotov cocktails hurled at Tesla vehicles, charging stations set ablaze, and dealerships covered in graffiti.

Lovers of the Cybertruck became targets, too, subjected to shouts of “Nazi!” and extended middle fingers.

Ross Blankenship is one of them. When he first laid eyes on the Cybertruck, he felt transported to a world from his childhood, when he would play “Halo,” the sci-fi video game. He had to have it.

“I had that sort of child in me wanting to be part of something cool that would change the future of automotive,” Blankenship said in a call from his Cybertruck as he drove through Sunnyside, Colorado. Even as Blankenship found he agreed with Musk on politics, he hated seeing a vehicle he loved turned into a political symbol. “I never bought it for any other reason than the fascination with the future technology of trucks … so that was a little heartbreaking.”

He would buy another Cybertruck again in a heartbeat, calling its end “a sad moment.”

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