Vertiv Infrastructure Helps Bring NVIDIA AI Computing Capability to the Naval Postgraduate School

Rhea-AI Summary

Vertiv (NYSE: VRT) has deployed integrated power, liquid cooling, rack infrastructure and installation services to support the Naval Postgraduate School’s new NVIDIA DGX GB300 system, creating a high‑density, liquid‑cooled AI environment for education, research, digital engineering, modeling and simulation.

The project uses a three‑rack Vertiv SmartIT integrated AI configuration that coordinates power protection and distribution, AI racks, liquid cooling, fluid management, facility interfaces, installation sequencing, and commissioning. According to Vertiv, this modular, pre‑engineered approach offers a repeatable path to modernize existing facilities for enterprise‑scale AI deployments.

News Explained

The July 23 announcement clarifies the parties’ roles: NVIDIA provided NPS’s DGX GB300 computing system. Vertiv supplied and deployed the supporting power, cooling, racks, engineering and installation services; the disclosure describes an operational deployment, not a newly disclosed ownership or financing change.

Market Context

The AI-tagged record included a 4.4% 24-hour move for event 1084601 and a negative reaction for anot...

Analysis

The AI-tagged record included a 4.4% 24-hour move for event 1084601 and a negative reaction for another capacity announcement, adding mixed historical context. The effective S-3ASR shelf for debt securities is a relevant financing risk to monitor.

Key Figures

Deployment date: July 23, 2026 Infrastructure configuration: Three racks

2 metrics

Deployment date July 23, 2026 Article publication date

Infrastructure configuration Three racks Vertiv SmartIT configuration supporting the NVIDIA system at NPS

Previous AI Reports

5 past events · Latest: Jul 21 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Jul 21	capacity expansion	Positive	+4.4%	Expanded Italian cooling capacity and planned testing laboratory for AI infrastructure.
Jul 01	manufacturing expansion	Positive	-7.0%	Opened Malaysia facility supporting regional AI infrastructure manufacturing and deployment.
Jun 01	digital twin launch	Positive	+2.4%	Introduced production-grade digital twin capability for NVIDIA Omniverse DSX.
Mar 30	manufacturing expansion	Positive	+7.0%	Announced Ohio investment to expand liquid cooling and chilled water capacity.
Mar 16	NVIDIA collaboration	Positive	+1.4%	Announced converged infrastructure collaboration for NVIDIA Vera Rubin DSX AI factories.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged history showed four positive and one negative 24-hour reactions, indicating mixed rather than uniform direction.

Key Terms

liquid cooling, rack-scale, commissioning, fluid management

4 terms

liquid cooling technical

"supporting the Naval Postgraduate School's new NVIDIA DGX GB300 system"

Liquid cooling is a method that uses a flowing liquid—like water or a special coolant—to carry heat away from electronic components, similar to how a car radiator moves heat away from an engine. For investors, it matters because it can lower energy and maintenance costs, enable higher-performance computing, reduce the footprint of data centers, and support sustainability targets, all of which can affect a company’s operating margins and capital spending needs.

rack-scale technical

"The NPS deployment demonstrates what is required to turn rack-scale accelerated computing"

Rack-scale describes a data center approach where an entire server rack — the metal shelf holding many computers, storage units and network gear — is designed and managed as a single, integrated system rather than a collection of separate machines. For investors, rack-scale matters because it can lower operating costs, speed deployment, and improve performance per dollar for cloud and enterprise customers, affecting demand for hardware, software and services tied to large-scale computing.

commissioning technical

"Deployments can involve power distribution upgrades, liquid-cooling integration, facility modifications"

Commissioning is the process of officially starting or activating a new project, system, or facility after it has been built or prepared. It involves testing and checking that everything functions correctly and safely before it begins full operation. For investors, commissioning signals that a project or asset is moving closer to generating value or revenue, which can impact its potential profitability and timing of returns.

fluid management technical

"Deployments can involve power distribution upgrades, liquid-cooling integration, facility modifications"

The clinical process of monitoring and controlling the amount and distribution of liquids in a patient’s body, using tools like intravenous fluids, diuretics and measurement devices. It matters to investors because fluid management protocols, devices and drugs can affect patient outcomes, length of hospital stay and regulatory trial results—factors that influence healthcare costs, product demand and a company’s financial performance, much like managing a household budget affects overall expenses.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Integrated power, liquid cooling, racks and deployment services provide a repeatable physical infrastructure configuration for high-density AI systems

COLUMBUS, Ohio, July 23, 2026 /PRNewswire/ -- Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced the deployment of integrated power, liquid cooling, rack infrastructure and installation services supporting the Naval Postgraduate School's (NPS) new NVIDIA DGX™ GB300 system. The project establishes an advanced, locally operated AI environment for education, research, digital engineering, modeling and simulation. It also demonstrates how an existing facility can be transformed to support the electrical, thermal and operational requirements of next-generation accelerated computing.

NVIDIA provided the DGX GB300 system to NPS, while Vertiv provided and deployed the supporting physical infrastructure, engineering expertise and installation services required to bring the high-density, liquid-cooled environment online.

"Advanced AI systems are redefining the physical requirements of the data center," said Gio Albertazzi, CEO of Vertiv. "The NPS deployment demonstrates what is required to turn rack-scale accelerated computing into operational AI capability. By coordinating compute requirements with power, liquid cooling, installation and lifecycle readiness, organizations can deploy AI faster, reduce integration risk and create a repeatable foundation for future growth."

Turning AI compute into operational capability
Rack-scale AI systems are changing how organizations plan and deploy digital infrastructure. Enterprise AI requires a complete physical configuration that coordinates compute, power, liquid cooling, racks, controls, installation, commissioning and lifecycle support.

The NPS project provides a practical example of how an existing facility can be modernized to support advanced AI capability without waiting for an entirely new purpose-built environment. For enterprise, government, research and institutional customers, this approach can reduce deployment complexity, accelerate time to productive AI capacity and establish a scalable foundation for future expansion.

High-density AI systems require substantially more power and cooling capacity than traditional IT environments. Deployments can involve power distribution upgrades, liquid-cooling integration, facility modifications, fluid management and specialized commissioning. Designing these elements as a coordinated system can reduce integration risk and improve operational readiness.

A repeatable physical configuration for Enterprise AI
The Vertiv™ SmartIT pre-integrated, rack-level AI infrastructure portfolio is designed to accelerate AI deployment across a range of physical infrastructure configurations, from standalone enterprise systems to fully integrated whitespace solutions. For larger-scale environments, Vertiv SmartIT can be integrated with Vertiv™ SmartRun to extend the same pre-engineered architecture converging the whitespace, coordinating rack infrastructure, power, cooling, controls and services as one deployable system. This modular approach provides customers with a repeatable path from an initial AI deployment to broader capacity expansion in both existing facilities and new builds.

Working with NVIDIA, NPS, the NPS Foundation and a broad ecosystem of partners, Vertiv designed and delivered a three-rack Vertiv SmartIT integrated AI infrastructure configuration to support the NVIDIA system. The Vertiv SmartIT configuration integrates:

• Power protection and distribution
• AI infrastructure racks
• Liquid-cooling technologies
• Fluid management and monitoring
• Facility and system interfaces
• Installation sequencing
• Testing and commissioning support

"Deploying an AI factory requires more than accelerated computing — it requires power, cooling and physical infrastructure engineered to work together," said Charlie Boyle, vice president of DGX systems at NVIDIA. "Together with Vertiv, we're bringing the NVIDIA DGX GB300 system online at the Naval Postgraduate School, giving researchers and faculty the infrastructure to advance AI research, digital engineering and education."

To learn more about how Vertiv helps organizations deploy high-density Enterprise AI infrastructure, visit www.vertiv.com.

About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.

Forward-looking statements
This release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27 of the Securities Act, and Section 21E of the Securities Exchange Act. These statements are only a prediction. Actual events or results may differ materially from those in the forward-looking statements set forth herein. Readers are referred to Vertiv's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and any subsequent Quarterly Reports on Form 10-Q for a discussion of these and other important risk factors concerning Vertiv and its operations. Vertiv is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements, whether as a result of new information, future events or otherwise.

CONTACT
Vertiv@ruderfinn.com

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SOURCE Vertiv Holdings Co

FAQ

What did Vertiv (NYSE: VRT) deploy for the Naval Postgraduate School’s NVIDIA DGX GB300 AI system?

Vertiv deployed integrated power, liquid cooling, rack infrastructure and installation services for the Naval Postgraduate School’s NVIDIA DGX GB300 system. According to Vertiv, this three‑rack SmartIT configuration delivers coordinated power, cooling and physical infrastructure to support high‑density AI research and education workloads.

How does Vertiv’s SmartIT infrastructure support high-density AI at the Naval Postgraduate School?

Vertiv’s SmartIT solution provides a pre-integrated, rack-level AI infrastructure with power protection, distribution, liquid cooling and monitoring. According to Vertiv, it coordinates racks, cooling, facility interfaces and commissioning to reduce integration risk and accelerate deployment of high-density AI systems like the NVIDIA DGX GB300.

What role does NVIDIA play in the Naval Postgraduate School AI deployment with Vertiv (VRT)?

NVIDIA provided the DGX GB300 accelerated computing system used at the Naval Postgraduate School. According to Vertiv, the company supplied and deployed the supporting physical infrastructure, enabling the NVIDIA system to operate in a liquid‑cooled, high‑density AI environment for research and education.

How can Vertiv’s NVIDIA DGX GB300 project at NPS help modernize existing data center facilities?

The NPS project shows how existing facilities can be upgraded to support advanced AI without new builds. According to Vertiv, coordinated power, liquid cooling, racks and commissioning create a repeatable physical configuration that can reduce deployment complexity and speed AI capacity in legacy environments.

What is Vertiv SmartRun and how does it relate to Vertiv SmartIT AI deployments?

Vertiv SmartRun extends SmartIT for larger-scale AI environments by converging whitespace, racks, power, cooling, controls and services. According to Vertiv, combining SmartIT and SmartRun offers a modular, pre‑engineered architecture for scaling enterprise AI capacity in both existing facilities and new builds.

What AI use cases will the Naval Postgraduate School support with Vertiv and NVIDIA infrastructure?

The infrastructure will support AI education, research, digital engineering, modeling and simulation at NPS. According to Vertiv, the locally operated environment transforms the existing facility into a high‑density, liquid‑cooled platform for turning rack‑scale accelerated computing into operational AI capability.