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Houston PE firm unveils oversubscribed $450M fund to advance nuclear power innovation

Pelican Energy Partners has raised more than it intended with its new nuclear-focused fund. Photo via Getty Images

Houston-based private equity firm Pelican Energy Partners has raised a $450 million fund to invest in nuclear energy services and equipment companies.

Pelican had aimed to raise $300 million for Pelican Energy Partners Base Zero LP and had imposed an initial “hard cap” of $400 million. Investors include endowments, foundations, family offices, and pension plans.

As of the fund’s closing date, the fund had wrapped up six investments, with several more deals expected to close by the end of this year.

In a news release, Pelican says the fund “is committed to growing and improving nuclear services companies, which are critical to sustaining and enhancing the installed nuclear power generation base.” Nuclear energy accounts for more than one-fifth of U.S. power generation and nearly half of U.S. carbon-free electricity.

“The wide-ranging enthusiasm for Base Zero is a testament to the growing interest and necessity of nuclear power. We look forward to continuing to build an outstanding portfolio where we can add substantial value and achieve excellent returns for our partners,” says Jay Surina, managing director of Pelican.

Since 2012, Pelican has raised over $1 billion for investments in companies in the energy services, equipment manufacturing, and technology sectors.

Houston-area companies that have received Pelican investments include AWC Frac Technology, Axon Energy Services, GHT, Vault Pressure Control, Epic International, P360 Management Solutions, Multilift Wellbore Technology, EnerCorp, Downhole Technology, and Capline Environmental Services.

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A View From HETI

SLB and NVIDIA plan to build an "AI factory for energy" to help the industry transform massive amounts of data into actionable information. Photo courtesy SLB

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”

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