Corvex has appointed Garrett Brams to lead its data center sourcing and development strategy, adding infrastructure expertise as demand for AI computing capacity continues to increase.
Brams will oversee the sourcing, evaluation, leasing, and development of mission-critical data center projects supporting Corvex’s expanding AI Factory platform. His responsibilities will focus on securing suitable sites, power availability, and development opportunities needed to support GPU-intensive AI workloads.
The appointment comes as the infrastructure requirements for artificial intelligence become increasingly complex. Training and running advanced AI models requires large amounts of computing power, while modern GPU clusters also create significant demands for electricity, cooling, networking, storage, and reliable facility operations.
This has made access to power and suitable data center locations an increasingly important consideration for AI infrastructure providers. Building new capacity requires coordination across real estate, energy, engineering, construction, procurement, and technology operations.
Brams joins Corvex from Cushman & Wakefield, where he served as Managing Director and advised developers, owners, occupiers, and institutional investors on capital-intensive infrastructure projects. His experience includes acquisitions, development, leasing, operations, and dispositions involving mission-critical assets, with particular attention to power availability, scalability, resilience, and speed to market.
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His appointment reflects a broader shift in the data center industry. AI infrastructure is increasingly becoming an integrated development challenge rather than simply a question of securing physical space. The availability of electricity, appropriate cooling systems, network connectivity, and construction capacity can all influence how quickly AI computing facilities can become operational.
Corvex has been expanding its AI infrastructure operations, including deployments involving high-density, liquid-cooled GPU systems. The company recently announced a multi-year agreement involving NVIDIA Blackwell GPUs and described a deployment in which liquid-cooled capacity was commissioned inside an existing facility.
For the wider AI industry, the development highlights an important reality: scaling AI requires infrastructure to grow alongside computing demand.
As organizations deploy increasingly sophisticated AI models and applications, securing the physical resources behind those systems including land, power, cooling, and connectivity will remain a critical part of the technology ecosystem.
Brams’ new role places him directly within that infrastructure challenge, as Corvex works to expand the capacity needed for increasingly demanding AI workloads.
