Corvex, Inc. (MOVE) shares traded at $11.30, up 1.25%, after the company expanded its data center development leadership. Corvex appointed Garrett Brams to lead data center sourcing and development for its growing AI Factory platform, an appointment aimed at strengthening access to power, strategic sites, and the infrastructure needed for GPU-accelerated computing deployments.

An AI Cloud Platform Built on GPU Infrastructure

Corvex operates an AI cloud computing platform built around GPU-accelerated infrastructure for demanding artificial intelligence workloads. The company provides computing clusters, high-throughput storage, security systems, and supporting architecture for large-scale customer deployments. Its expansion strategy depends on securing sufficient power and suitable facilities as computing requirements grow more complex.

Brams to Oversee Data Center Sourcing and Development

Brams will oversee the sourcing, evaluation, leasing, and development of mission-critical data center projects supporting Corvex's platform. His responsibilities cover site selection and infrastructure planning as the company adds capacity for high-performance computing customers. Corvex expects the role to strengthen early access to locations and power before new infrastructure reaches the market.

The appointment comes as Corvex expands its AI Factory platform to serve growing demand for secure computing capacity. GPU-heavy workloads require coordinated planning across electrical systems, cooling, networking, storage, procurement, construction, and daily operations. That complexity makes experienced infrastructure leadership important when bringing large computing environments online efficiently.

Brams previously served as managing director at Cushman & Wakefield, one of the largest global commercial real estate services firms, where he advised clients on capital-intensive infrastructure projects. His work covered acquisitions, development, leasing, operations, and dispositions across the lifecycle of mission-critical real estate assets, with a focus on power availability, resilience, scalability, and speed when evaluating data center and infrastructure opportunities.

Power Access Underpins AI Factory Expansion

Power availability has become a major development requirement because GPU clusters can place heavy demands on electrical infrastructure. Dense computing deployments also require advanced cooling systems, high-capacity networks, reliable storage, and carefully planned facility operations. Corvex is strengthening its sourcing function as these requirements shape where, and how quickly, new AI capacity can launch. That pressure extends across the industry: data center developers scaling AI capacity have repeatedly identified electricity availability, grid interconnection timelines, and competition for sites with existing power and fiber connectivity as among the main constraints on how quickly new facilities can come online.

Brams will help identify sites that combine available power with land, connectivity, construction potential, and suitable commercial terms. His role also includes evaluating leasing opportunities and development projects that can support future AI Factory deployments. Earlier visibility into infrastructure supply could give Corvex more options when matching new capacity with customer requirements.

The company describes its AI Factory model as an integrated approach to building and operating GPU-based computing infrastructure, combining computing hardware with storage, networking, security, and facility systems rather than treating each requirement separately. This approach requires coordination across engineering and real estate teams before a new site can support production workloads.

A Broader GPU Computing Product Suite

Corvex offers AI Factories and GPU Clusters as part of its broader infrastructure product suite for computing customers. The company also provides Confidential Computing and continues developing its Corvex Token Factory inference platform, which it said currently operates in closed alpha as development continues across its computing products.

The company's architecture aims to provide secure, scalable, and cost-efficient computing resources for advanced artificial intelligence workloads. High-throughput storage supports data-heavy applications, while the layered infrastructure design targets reliability and performance at larger scales. Physical expansion remains necessary because each GPU deployment needs sufficient electricity, cooling, network capacity, space, and operational support.

Brams' appointment adds dedicated leadership for data center projects as Corvex expands its infrastructure footprint and AI Factory capacity. His experience links property sourcing with power planning, leasing, development, construction requirements, and mission-critical operations, and Corvex is drawing on that experience to support faster infrastructure execution while demand grows for GPU-accelerated computing resources. For readers tracking the buildout, the areas Brams now oversees — site selection, leasing, and development — are the clearest yardsticks of progress, through future announcements of secured locations, power capacity, and additional AI Factory deployments.