NTT DATA Expands AI Data Center Infrastructure With 115MW Capacity

AI data center infrastructure is driving NTT DATA’s latest U.S. capacity gains, with nearly 115MW committed across three metros. The wins centre on hyperscale and enterprise AI workloads.

The capacity includes more than 90MW at the VA11 campus in Gainesville, Virginia, plus close to 20MW from three enterprises in Chicago and Sacramento. Buyers prioritised density, compliance and rapid scaling.

NTT DATA is also expanding globally, adding over 370MW across 10 facilities in the past year and targeting more than $10 billion in investment by 2027 to support AI-heavy compute.

AI data center infrastructure: What You Need to Know

• NTT DATA secured nearly 115MW across Virginia, Chicago and Sacramento, anchored by a 90+MW hyperscale build at VA11 and enterprise commitments for dense, compliant AI.

NTT DATA’s latest commitments underline AI‑first growth

NTT DATA confirmed almost 115MW of new capacity across its U.S. campuses, underscoring how AI data center infrastructure now steers procurement across hyperscale and enterprise segments.

A major hyperscaler committed to more than 90MW at the VA11 campus in Gainesville, Virginia. Three enterprise organisations together added close to 20MW in Chicago, Illinois, and Sacramento, California.

Demand is rising across financial services, cloud, gaming and cybersecurity. These buyers want AI data center infrastructure engineered for compliance, agility and high-density readiness, with clear upgrade paths for cooling and power as models and accelerators evolve.

Speed to market and predictable scalability across standardised footprints remain priorities for NTT DATA global data centers.

Where the capacity is headed

The new commitments are concentrated in Gainesville, Chicago and Sacramento. The VA11 campus anchors the programme with a 90+MW hyperscale deployment, expanding hyperscale data center capacity in Northern Virginia.

Elsewhere, enterprise allocations approach 20MW, aligning AI data center infrastructure with proximity to cloud availability zones, regulatory requirements and growth headroom.

Client snapshots

A major financial services firm selected NTT DATA Global Data Centers for robust compliance and adaptable cooling, enabling phased adoption of liquid technologies. A gaming platform emphasised proximity to cloud regions and flexible cooling architectures.

A cybersecurity company expanded on an existing campus to accelerate deployment and scale. The hyperscale client prioritised AI data center infrastructure optimised for high-density, AI‑driven workloads at scale.

AI data center infrastructure engineered for density and compliance

Cooling for high‑density and liquid adoption

Rising model sizes and GPU clusters are pushing thermal limits. Buyers favour AI data center infrastructure that supports today’s higher rack densities and can transition to direct‑to‑chip or immersion liquid cooling without extensive redesign, preserving optionality as performance profiles change.

Speed, scalability and proximity

Enterprises cited rapid deployment and clear scale paths as decisive. Co‑location near major cloud availability zones reduces latency and simplifies hybrid architectures. Modular designs let teams right‑size now and expand predictably as AI adoption accelerates.

Guidance on zero‑trust and AI‑specific risks remains relevant as environments scale: Zero‑trust architecture for network security and Prompt‑injection risks in AI systems.

Why AI data center infrastructure is in demand

Organisations need platforms that can host GPU‑rich clusters, satisfy stringent regulatory expectations and evolve quickly.

AI data center infrastructure that combines compliance, agility and high‑density flexibility reduces delivery risk and improves predictability at scale.

Global expansion supports next‑generation workloads

Beyond the U.S. wins, NTT DATA added more than 370MW across 10 new facilities in North America, EMEA and APAC over the past year, advancing a multi‑year plan to invest over $10 billion by 2027.

The expansion strengthens AI data center infrastructure availability worldwide.

The growth strategy aligns with broader infrastructure investments transforming digital economies. For regional context, see African digital infrastructure receives a boost and the rollout of a new data centre in Windhoek, Namibia, as well as 5G’s role in low‑latency services in Africa’s next‑gen connectivity.

According to company leadership, clients increasingly choose NTT DATA Global Data Centers for compliant, agile and future‑ready designs that keep pace with surging compute requirements across both hyperscalers and enterprises.

Implications for hyperscalers and enterprises

Advantages:

The expansion gives buyers access to AI data center infrastructure designed for rapid scaling and high densities, with routes to liquid cooling.

Proximity to cloud regions supports hybrid and multi‑cloud strategies, while consistent blueprints across campuses cut deployment friction. Strong compliance postures help regulated sectors embed AI with confidence.

Disadvantages:

High‑density deployments increase operational complexity in power, cooling and lifecycle planning. Concentrated demand in key metros can tighten timelines for space and power.

Organisations still need rigorous governance and security controls alongside AI data center infrastructure to manage risks around model integrity, data protection and supply chains.

Conclusion

NTT DATA’s U.S. wins confirm how quickly AI data center infrastructure is reshaping site selection and design. The 90+MW VA11 anchor and enterprise deals emphasise density, compliance and speed.

The global build‑out, adding more than 370MW in the last year and backed by a $10 billion plan through 2027, expands hyperscale data center capacity and standardised delivery options worldwide.

As AI adoption accelerates, organisations will favour AI data center infrastructure that evolves rapidly, maintains regulatory alignment and sustains predictable performance as workloads intensify.

Questions Worth Answering

Where is the new capacity concentrated?

• Across Gainesville, Virginia; Chicago, Illinois; and Sacramento, California, led by a 90+MW deployment at VA11 in Northern Virginia.

How is capacity split between hyperscale and enterprise?

• More than 90MW is committed to a hyperscale client, with nearly 20MW allocated across three enterprise organisations.

Which sectors are driving demand?

• Financial services, cloud platforms, gaming and cybersecurity teams prioritising dense, compliant environments for AI training and inference.

Why focus on cooling now?

• High‑density GPU clusters require advanced thermal management today and seamless pathways to liquid cooling as densities rise.

What is NTT DATA’s global expansion plan?

• Ten new facilities added more than 370MW in the past year, supporting a multi‑year investment exceeding $10 billion by 2027.

How does proximity to cloud regions help?

• It reduces latency, simplifies connectivity and supports hybrid or multi‑cloud designs for AI workloads.

About NTT DATA

NTT DATA is a global technology services provider spanning AI, digital business and managed infrastructure. Its Global Data Centers division designs, builds and operates facilities for hyperscalers and enterprises.

The company focuses on secure, compliant and scalable environments to support dense AI deployments and high‑performance computing at scale.

Over the last year it launched 10 new data centres, adding 370MW+, and plans to invest more than $10 billion by 2027.

About Doug Adams

Doug Adams serves as CEO and President of NTT Global Data Centers, overseeing strategy and execution across regions.

He leads programmes focused on compliant, agile and future‑ready platforms for hyperscalers and enterprises adopting AI.

In outlining recent wins, he highlighted client confidence in designs that scale with surging compute demands.