Vertiv has introduced Vertiv SmartIT, a pre-engineered architecture designed to simplify high-density AI deployments across data centres. Previously deployed with NVIDIA to support the NVIDIA DGX GB300 system, SmartIT integrates rack infrastructure, direct-to-chip liquid cooling, DC power conversion, cooling distribution, and monitoring into a factory-validated design. The solution reduces on-site integration complexity and multi-vendor coordination, enabling brownfield enterprise facilities and new data centres to support AI-class density globally.
Previously deployed with NVIDIA to support the NVIDIA DGX™ GB300, the highest-performing, largest-scale AI system available for enterprises, the Vertiv SmartIT solution integrates rack infrastructure, DC power conversion and distribution, direct-to-chip liquid cooling, in-rack cooling distribution and monitoring in a factory-validated design. By integrating and validating these systems before shipment, Vertiv SmartIT helps reduce on-site integration complexity and connects to facility power and cooling infrastructure. The solution is available now for AI deployments globally.
“AI is fundamentally changing the demands placed on data center infrastructure, requiring closer coordination across power, cooling and IT systems to support increasingly complex workloads,” said Scott Armul, Chief Product and Technology Officer at Vertiv. “Vertiv SmartIT reflects our approach to solving that challenge by bringing these disciplines together in a factory-validated architecture. By combining Vertiv’s expertise across critical infrastructure, we’re helping customers simplify deployment, build greater consistency into their AI environments and establish a foundation that can evolve alongside their computing needs.”
Vertiv SmartIT helps customers address key deployment challenges, including:
- Deployment timelines compress: Factory validation replaces on-site integration, limiting the commissioning scope to facility connections.
- Multi-vendor coordination is reduced: Customers benefit from a single order, one partner and one architecture spanning rack, power, cooling and monitoring.
- Existing spaces become AI-ready: Brownfield enterprise facilities and Class A commercial buildings can support AI-class density without full reconstruction.
- Scalability becomes repeatable: The same building block supports growth from single rack to multi-rack deployments, without redesign between phases.
- Operational visibility increases: Integrated leak detection, automated response and continuous monitoring provide visibility from rack to site, with these capabilities built into the solution from day one rather than assembled from separate vendor tools.
Vertiv SmartIT is a scalable, pre-engineered infrastructure platform for high-density AI deployments, supporting NVIDIA GB300 NVL72, NVIDIA Vera Rubin NVL72, NVIDIA DGX™ Rubin NVL8 and NVIDIA HGX™ Rubin NVL8 on NVIDIA MGX and Open Compute Project (OCP) ORV3 architectures.
Designed to scale from a single rack to multi-rack deployments, it enables customers to deploy and expand AI infrastructure within a common architecture while integrating power, cooling, monitoring and controls. Built-in monitoring, leak detection and support for Redfish, SNMP and Modbus simplify operations, while Vertiv Global Services supports deployment, commissioning and lifecycle management.
Vertiv SmartIT can be deployed as part of a broader Vertiv infrastructure architecture, with complementary solutions extending integration and management capabilities beyond the rack. Vertiv SmartRun extends integration across the row, while Vertiv rack power distribution units (rPDU) provide power distribution and monitoring. Vertiv Unify provides integrated monitoring, analytics and controls across power and thermal infrastructure, including leak detection and coordinated response control. Together, these solutions help customers scale from individual Vertiv SmartIT deployments to larger AI environments.
Vertiv showcased a Vertiv SmartIT with a NVIDIA HGX Rubin NVL8 demo unit during NVIDIA GTC Berlin in October, demonstrating an integrated infrastructure architecture designed to support NVIDIA DGX Rubin NVL8 deployments, enabling customers to start at the right scale and expand within a common infrastructure architecture as AI demand grows.
