DataBank and Goodman Group Plan 32 MW AI-Focused Data Center in Los Angeles

According to a recent LinkedIn post from DataBank, the company is collaborating with Goodman Group on a new 32 MW data center project in Vernon, California, targeting what is described as one of the most supply-constrained data center markets in the U.S. The facility is characterized in the post as “AI-ready,” designed for high-density workloads and positioned to support cloud, AI, and enterprise demand.

The post indicates that the first phase of the project is expected to come online in late 2026, with capacity expanding through 2027. For investors, the timeline suggests that any revenue contribution is likely to be medium term, with potential upside if demand for AI and cloud infrastructure in the Los Angeles area continues to accelerate.

The LinkedIn content emphasizes the combination of DataBank’s operational capabilities with Goodman Group’s development and investment resources. This structure may signal a capital-efficient growth strategy for DataBank, potentially allowing the company to scale in high-demand markets without assuming the full burden of development risk on its own balance sheet.

By highlighting Los Angeles as a critical, supply-constrained market, the post points to a competitive positioning advantage if the venture delivers capacity on schedule. Expanded presence in a major West Coast hub could enhance DataBank’s appeal to cloud, AI, and enterprise customers seeking proximity to end users and low-latency connectivity.

The focus on “AI-ready” and high-density design suggests alignment with rising power and cooling requirements for AI and advanced workloads. If successfully executed, the project could improve DataBank’s product mix toward higher-value deployments, potentially supporting pricing power and higher returns versus more traditional colocation capacity.

The post also notes that this development is “just the beginning” of what the partners plan to build in high-demand markets. For investors, this language implies a possible multi-asset development pipeline, which could increase DataBank’s long-term growth profile while also raising execution and capital-allocation considerations as additional projects materialize.