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Torus has secured $500 million in growth capital and launched Foundry, a modular AI infrastructure system that places inference computing at sites with available electrical capacity. The company says the systems can go from contract to running workloads within 12 to 16 weeks by using existing grid connections.
Magnetar led the financing, with participation from ICONIQ, Origin Ventures, Ridgeline Partners and Trinity Capital. Torus will use the proceeds to expand manufacturing and deploy Torus Reserve energy systems and Foundry infrastructure across the United States.
Foundry packages power, storage, cooling, networking and computing into prefabricated systems with capacity ranging from 1 to 20 megawatts per site. The approach targets distributed inference workloads, placing smaller installations closer to enterprise demand rather than building new large-scale data center campuses.
Every installation includes Torus Reserve, an energy storage and management system designed to shape demand, handle rapid power changes and supply backup power. Torus intends the pairing to make more computing capacity available within an existing interconnection.
"The industry has been trying to solve AI’s power problem by building net-new infrastructure, which causes costs to potentially rise and takes years to bring compute online. Inference doesn’t have to wait. We’ve spent years learning how to make the grid more affordable, flexible, resilient, and intelligent, and Foundry applies that to compute: capacity in weeks, with power that’s already available. Most providers are bringing power to the chips. Foundry brings the chips to power."
Torus is launching Foundry with Hydra Host and another AI cloud provider. Customers can select a powered enclosure without GPUs, a turnkey bare-metal installation with GPUs, or dedicated inference capacity reserved exclusively for an enterprise’s workloads.
The source material also included the following statement without identifying its speaker:
"One of the biggest challenges in scaling AI infrastructure is access to power, and the solution isn’t simply generating more of it, but making better use of what’s already available. Torus has spent years building the energy infrastructure and expertise to address this challenge. Foundry builds on that foundation by bringing compute to available power, helping unlock capacity within the existing grid. As demand for AI inference accelerates, we believe solutions like Foundry will become increasingly important, and we’re excited to continue supporting Nate and his team as they scale."
According to Torus, thousands of GPUs are already operating in Foundry systems. The company plans to exceed 47,000 deployed GPUs by the end of 2027.
Production takes place at GigaOne, Torus’s 545,000-square-foot manufacturing facility in Salt Lake City. The Foundry production line is intended to support 500 megawatts of IT load, with plans to expand to 1 gigawatt.
Torus employs nearly 400 people, manufactures key components internally and provides ongoing operations and maintenance. By combining prefabricated equipment with existing electrical capacity, the company aims to shorten deployment schedules compared with constructing new large-scale data center campuses.
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