WHAT YOU NEED TO KNOW
  • Torus raised $500 million in a Series C round led by Magnetar to support manufacturing of its Foundry product.
  • Foundry combines battery storage with AI computing inside modular units designed for businesses and factories.
  • The units range from one megawatt to 20 megawatts and can be installed within four months.
  • Torus says its distributed approach can use existing power capacity while avoiding costly infrastructure upgrades.

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Torus has raised $500 million to launch Foundry, a modular product that combines battery storage with artificial intelligence computing inside units the size of shipping containers. The Utah energy storage startup disclosed the funding alongside details of its planned manufacturing push.

Magnetar led the Series C round, according to a statement from Torus. Other participating investors included Iconiq Capital, Origin Ventures and Trinity Capital, bringing several investment firms into the Salt Lake City based company’s latest capital raise.

Torus said the funding will support manufacturing for Foundry. The product represents an expansion beyond the modular battery systems the company has already been selling to businesses and factories seeking to manage energy consumption and reduce their power bills.

Foundry combines computing capacity and batteries in a modular format intended for installation at businesses or factories. Torus founder and Chief Executive Officer Nate Walkingshaw said those locations can host the containers where power grids already have excess capacity available.

The company has already identified Hydra Host as one of the customers for the product. Torus described Hydra Host as an AI infrastructure company, tying Foundry directly to the market for computing systems that support artificial intelligence applications.

Walkingshaw said the computing containers can help customers avoid expensive infrastructure upgrades by using power capacity that is already present. Such upgrades can put pressure on utility bills, making the location and installation strategy a central element of the product.

The units will specialize in AI inference tasks and will range in size from one megawatt to 20 megawatts, according to Walkingshaw. He said the systems can be installed within four months, giving businesses and factories a defined deployment timeline.

That modular approach differs from the sprawling data center campuses now being pursued by developers across the United States. Those developers are racing to secure enough electricity for increasingly energy intensive artificial intelligence applications.

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Some planned campuses can consume as much electricity as a city, according to the source. The enormous power requirements have created challenges for developers seeking locations, grid connections and sufficient capacity to operate their computing infrastructure.

Greater scrutiny and longer project timelines are also becoming possible in states including Texas and Ohio. Democrats who campaigned for tighter restrictions on data centers won governors’ races in those states during last week’s midterm elections.

The shifting political environment could provide an opening for companies offering computing power without sharply increasing electricity bills or adding local noise or pollution, Walkingshaw said. Torus is positioning Foundry around that distributed model rather than a single sprawling campus.

The company’s earlier modular battery systems were designed to help commercial and industrial customers control their energy use. Foundry adds artificial intelligence computing to that battery focused business while retaining a modular structure suited to businesses and factories.

Walkingshaw described the approach as moving computing chips toward locations where electricity is already available. Rather than waiting for major grid expansion, the company plans to install container sized units where existing power capacity can support them.

“The Foundry product is our version of a distributed data-center approach to move the chips to the power that's already there,” he said.

The $500 million funding round gives Torus capital to support Foundry manufacturing as demand for AI infrastructure collides with power constraints. Its product launch centers on combining batteries, computing capacity and deployment flexibility within units that can be installed in months.

For Torus, the opportunity rests on serving artificial intelligence computing demand while addressing concerns surrounding electricity costs, noise and pollution. Foundry’s range of system sizes also allows the company to offer installations spanning from one megawatt to 20 megawatts.

DISCLAIMER: GoldInvestors.news is not a registered investment, legal or tax advisor or broker/dealer. All investment/financial opinions expressed by GoldInvestors.news are from the personal research and experience of the owner of the site and are intended as educational material. Although best efforts are made to ensure that all information is accurate and up to date, occasionally unintended errors and misprints may occur.