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Home / Technology / Torus secures USD 500 million to accelerate modular AI inference infrastructure deployment using existing grid capacity

Torus secures USD 500 million to accelerate modular AI inference infrastructure deployment using existing grid capacity

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Torus secures USD 500 million to accelerate modular AI inference infrastructure deployment using existing grid capacity
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Torus has launched Foundry, a modular AI inference infrastructure system, alongside a USD 500 million growth capital round led by Magnetar. The prefabricated solution delivers up to 20 megawatts of compute capacity within 16 weeks by utilizing existing grid interconnections, addressing critical power bottlenecks for enterprise AI workloads.

UNITED STATES OF AMERICA —Torus has announced the launch of Foundry, a prefabricated modular artificial intelligence infrastructure system, concurrent with a USD 500 million growth capital raise led by Magnetar. The funding round also included participation from ICONIQ, Origin Ventures, Ridgeline Partners, and Trinity Capital. This capital injection is designated for expanding domestic manufacturing capabilities and accelerating the deployment of modular compute solutions across the United States.

The introduction of this modular system addresses a critical bottleneck in the artificial intelligence sector: the scarcity of electrical power for inference workloads. Unlike traditional hyperscale data center developments that require years of construction and new grid interconnections, the Foundry system delivers between one and twenty megawatts of compute capacity per site within a sixteen-week timeframe. By operating behind the meter and utilizing existing electrical headroom at commercial and industrial locations, the technology circumvents the need for new transmission infrastructure.

This development holds significant implications for grid operators and enterprise technology stakeholders. The system integrates inertial flywheel and battery storage to manage demand peaks, providing ramp-rate support and load curtailment that enhance local grid stability. For enterprises, the distributed architecture offers enhanced data security, intellectual property protection, and reduced latency by positioning inference compute closer to end users. The shift toward decentralized compute models presents a viable alternative to centralized facilities, which increasingly face regulatory and physical constraints.

From a strategic market perspective, the vertical integration of power management, cooling, networking, and computing hardware positions the company to capture market share in the rapidly expanding edge computing sector. The manufacturing process is centralized at a facility in Utah, supporting domestic supply chain resilience. Furthermore, the deployment model incorporates waterless closed-loop cooling systems, aligning with corporate environmental mandates by significantly reducing water consumption compared to conventional evaporative cooling methods.

Torus is a United States-based manufacturer specializing in distributed power and compute infrastructure. Headquartered in Salt Lake City, the company develops integrated systems that combine energy storage, modular computing, and grid management technologies for commercial, industrial, and utility applications.

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