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.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed
.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed

Corvex Builds Toward 8MW Cloud Infrastructure Footprint

Corvex is positioning its next phase of growth around a simple constraint in artificial-intelligence infrastructure: access to powered capacity that

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Corvex AI capacity

Corvex is positioning its next phase of growth around a simple constraint in artificial-intelligence infrastructure: access to powered capacity that can move quickly from financing to revenue-generating compute. The AI compute platform has secured $33 million through a private placement of common stock and a Series D funding round, giving it capital to expand from its current 1.5MW footprint. The company plans to reach 8MW of capacity by the end of 2026, materially increasing the infrastructure available to customers building and running AI workloads. The expansion also gives Corvex a larger platform from which to pursue additional capacity in 2027.

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Corvex Plans 8MW AI Infrastructure Footprint

Corvex plans to double capacity at its existing data center in the Mid-Atlantic while establishing operations at another facility in the Midwest. The combined expansion is expected to bring the company’s footprint to 8MW by the end of 2026, according to the company. The Midwest deployment will add 2,000 of the “latest-generation” GPUs, while another 1,000 GPUs will come online at the Mid-Atlantic site. Corvex has not identified the specific GPU configurations for these deployments, although its website lists Nvidia B300, GB200, B200 and H200 GPUs as available through its platform.

The GPU additions point to a strategy centered less on owning a conventional data-center estate and more on assembling commercially deployable AI capacity. Corvex expects these deployments to begin generating revenue in the first quarter of 2027, creating a relatively short path between infrastructure expansion and monetization. That timing will make utilization and customer demand critical to the economics of the new capacity. For AI infrastructure providers, megawatts only become valuable when they translate into sustained compute workloads and contracted demand.

Midwest Site Creates Path Beyond 20MW

Corvex’s Midwest arrangement also gives the company a right of first refusal on another 12.5MW of capacity at the same site. The company expects that additional capacity to enter service in the third quarter of 2027, potentially taking Corvex’s total footprint beyond 20MW. The option gives Corvex room to expand without immediately committing the full capital needed to build out that additional capacity. It also creates a potential second stage of growth if demand for AI compute continues to strengthen.

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“The scarce input in AI infrastructure is energized power inside a finished building. We have secured more than five times as much of it, with the right to scale to more than 20 megawatts in 2027,” said Jay Crystal, co-CEO and co-founder of Corvex.

Funding Backs Compute and Token Factory

Goldman Sachs & Co. LLC led Corvex’s funding round, while Morgan Stanley and Oppenheimer & Co. served as Joint Lead Placement Agents. A portion of the proceeds will also fund development of Corvex Token Factory, an offering currently in closed alpha. Corvex designed the product to provide customers with API access to open-source AI models, extending the company’s business beyond its underlying compute infrastructure. The combination could give Corvex greater control over the layers connecting physical capacity with AI inference services.

“As inference volumes grow, enterprises are paying much closer attention to the cost of serving AI at scale. Token Factory is built to address that cost by offering near-frontier performance on most enterprise workloads at a fraction of the price per million tokens of frontier proprietary models,” said Seth Demsey, co-CEO and co-founder of Corvex. “The differentiation will be in the infrastructure and security layer beneath the API. Integrating our Assured AI security capabilities directly into the inference platform gives customers a way to combine lower-cost inference with greater control over sensitive prompts and model weights.”

From Evie Ring to AI Infrastructure

Corvex’s current identity follows a sharp strategic transition from its previous business. The company was formerly Movano, the company behind the Evie Ring fitness tracker, before announcing plans in November 2025 to merge with Corvex. The transaction closed on March 19, 2026, with the combined company adopting the Corvex name. In June 2026, the company disposed of its healthcare business, leaving AI compute and related infrastructure as the core of its forward strategy.

Corvex’s immediate challenge is now execution: bringing thousands of GPUs online, filling the new capacity with paying workloads and converting its power position into recurring revenue. Its planned 8MW footprint by year-end 2026, alongside the potential 12.5MW expansion in 2027, gives the company a meaningful growth runway. The larger opportunity lies in whether Token Factory and its security capabilities can turn that infrastructure into a differentiated AI services platform. That will determine whether Corvex’s expansion becomes simply a larger compute footprint or the foundation of a broader AI infrastructure business.

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Corvex Builds Toward 8MW Cloud Infrastructure Footprint

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