Vertiv SmartIT Packages Power and Liquid Cooling for AI Racks

Vertiv has launched SmartIT, a pre-engineered system that combines rack infrastructure, power conversion, liquid cooling and monitoring for high-density AI computing. The platform is designed to reduce the integration work required when data centers install increasingly power-hungry AI racks.

SmartIT is based on Nvidia MGX and Open Compute Project ORV3 architectures. It supports systems including the Nvidia GB300 NVL72, Vera Rubin NVL72, DGX Rubin NVL8 and HGX Rubin NVL8. Vertiv says the platform can scale from one rack to multiple racks and can be deployed in existing enterprise facilities, new data centers, colocation sites and hyperscale environments.

The product addresses a practical bottleneck. An AI rack is not just a collection of servers. It also requires coordinated power distribution, direct-to-chip liquid cooling, leak detection, monitoring and controls. Validating those components before shipment can reduce on-site engineering and commissioning risk, especially for customers that lack hyperscale infrastructure teams.

SmartIT has already been deployed with Nvidia to support the DGX GB300 system, and Vertiv says the commercial platform is available globally. Built-in monitoring supports Redfish, SNMP and Modbus, allowing the rack system to connect with common management tools. Customers can also combine it with Vertiv's SmartRun row integration, rack power distribution and Unify control platform.

The timing is favorable. Vertiv reported third-quarter 2026 sales growth of 61% and organic orders growth above 100% two days after the product announcement, confirming that AI infrastructure demand remained strong at the time of launch. Those company-wide results do not reveal SmartIT demand, but they show the product is entering a market with significant order momentum.

The key limitation is commercial detail. Vertiv did not disclose SmartIT pricing, customer orders, expected margins or revenue contribution. Pre-engineered designs can shorten deployment cycles, but they may also face competition from other infrastructure vendors and from customers that prefer customized systems.

For investors, SmartIT expands Vertiv's opportunity to sell an integrated rack solution rather than separate cooling and power components. That can increase content per deployment and strengthen customer relationships if the platform performs reliably. The financial effect will depend on adoption, product mix and whether factory validation translates into lower installation costs for customers.

The next evidence should include named customer deployments, backlog attributable to the platform and data on commissioning time or operating efficiency. SmartIT is a credible product extension into AI factories, but the launch announcement alone does not quantify its earnings impact.