DataBank: Reshaping Data Centre Design and Build

2026-02-05 · Source: AI Magazine · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

DataBank, a data center operator with over 70 facilities across 25 markets, is significantly expanding its capacity, projecting an increase from 75MW commissioned in 2025 to 256MW in 2026. The company aims to activate approximately 1GW of capacity between 2025 and 2030, a substantial leap from its earlier focus on 20-40 megawatt developments. This growth is driven by DataBank's Universal Data Hall Design, a standardized, campus-based approach to data center construction. This design strategy is intended to create future-ready foundations capable of adapting to rapidly evolving market demands and the escalating infrastructure requirements of enterprise AI.

Key takeaway

For CTOs and VPs of Engineering evaluating future infrastructure investments, DataBank's strategy highlights the critical need for scalable and adaptable data center designs. Your organization should prioritize solutions that offer standardized, campus-based environments to cost-effectively support the escalating demands of enterprise AI and ensure long-term operational flexibility.

Key insights

Standardized, campus-based data center designs enable rapid scaling and adaptability for future enterprise AI demands.

Principles

• Standardization drives scalability.
• Campus designs enhance adaptability.

Method

DataBank employs a Universal Data Hall Design, focusing on standardized, campus-based environments to meet dynamic market conditions and infrastructure demands for enterprise AI.

In practice

• Adopt modular data hall designs.
• Plan for campus-level infrastructure.

Topics

• Data Center Design
• AI Infrastructure
• DataBank
• Capacity Expansion
• Universal Data Hall Design

Best for: CTO, VP of Engineering/Data, Director of AI/ML, MLOps Engineer, AI Architect, IT Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.