Lianli Advances Modular Liquid-Cooled Data Center Solutions to Support Rapid AI Infrastructure Deployment

As AI computing infrastructure continues to evolve, Lianli is strengthening its capabilities in modular data center design, liquid cooling integration, and project delivery to support the deployment of high-density AI computing systems.

On October 21, 2026, Jensen Huang, CEO of NVIDIA, shared insights into next-generation AI computing platforms and AI factory infrastructure at NVIDIA GTC Berlin. As platforms such as NVIDIA Vera Rubin continue to advance, data center development is increasingly moving toward modular architectures, factory prefabrication, and integrated infrastructure solutions.

NVIDIA's DSX POD reference design highlights the coordinated planning of compute, networking, power, and cooling systems, with factory integration and testing playing an important role in improving deployment efficiency. This industry direction underscores a broader shift: as AI computing capacity expands, data center competitiveness increasingly depends not only on hardware performance, but also on infrastructure planning, liquid cooling integration, engineering execution, and end-to-end project delivery.

For data center developers, the challenge is to accommodate high-density server deployments while shortening construction schedules, reducing on-site installation complexity, and allowing for future expansion. Modular data center enclosures offer a flexible approach by integrating equipment layout, liquid cooling, power distribution, and supporting infrastructure into a coordinated design.

Against this backdrop, Lianli continues to develop its modular liquid-cooled data center solutions. Through containerized solution projects designed around high-density computing platforms, including NVIDIA GB300-based configurations, Lianli has established an increasingly structured delivery process spanning enclosure design, liquid cooling equipment provision, system integration, and project implementation.

Combining modular enclosure design with a portfolio of liquid cooling products, Lianli can develop customized containerized liquid cooling solutions based on customers' server configurations, rack power requirements, cooling demands, and site conditions—supporting projects from initial planning through implementation.

1. AI Infrastructure Evolution Is Driving Modular and Prefabricated Data Center Deployment

The continued growth of large-scale AI training, inference, and high-performance computing (HPC) is raising requirements for computing density, heat dissipation, power capacity, and operational reliability.

Traditional data center construction often requires extensive on-site coordination among server racks, cooling equipment, piping, electrical systems, and monitoring infrastructure. Aligning these systems during construction can introduce significant design and installation complexity.

For projects deploying high-density GPU servers, infrastructure planning must account for equipment footprints, coolant supply and return circuits, power distribution capacity, piping routes, maintenance access, and future expansion. Inadequate coordination at the design stage can lead to spatial conflicts, piping modifications, equipment relocation, and additional commissioning work.

Modular data center enclosures provide an alternative approach. By completing internal space planning during the design phase and incorporating server racks, liquid cooling equipment, and supporting infrastructure into an integrated solution, selected installation, assembly, and integration activities can be shifted from the construction site to the factory.

This approach helps improve installation consistency and enables equipment to be assembled, inspected, and tested against defined requirements. For AI data center projects deployed in phases, modular designs can also accommodate planned capacity increments and future expansion.

The modular AI factory direction reflected in NVIDIA's GTC Berlin presentations further highlights the importance of infrastructure integration and coordinated system-level deployment. For liquid cooling equipment suppliers and modular data center solution providers, product compatibility, system coordination, and engineering execution are becoming increasingly important capabilities.

2. An Established Modular Enclosure Approach Built Around Server Deployment Requirements

A containerized data center is more than a shipping container fitted with server racks. It requires coordinated engineering based on the target computing equipment, power demand, cooling architecture, operating environment, and installation requirements.

Lianli continues to develop its modular enclosure products and supporting solutions for data center liquid cooling applications. Depending on project scale and deployment conditions, the company can coordinate enclosure structure, equipment arrangement, liquid cooling infrastructure, and associated facility systems.

Key considerations include:

Space Planning and Equipment Installation

Server racks, CDUs, and auxiliary equipment are arranged according to their dimensions, weight, installation requirements, and maintenance clearances. The objective is to establish a practical equipment layout while minimizing spatial conflicts.

Liquid Cooling Architecture and Piping Layout

The design considers CDU positioning, coolant supply and return routing, connection interfaces, and service access. These elements provide the spatial and engineering basis for subsequent liquid cooling integration.

Power Distribution and Supporting Infrastructure

Electrical equipment, cable routing, monitoring systems, and required protection measures are planned in coordination with the IT load and equipment configuration. Their installation interfaces with the cooling system are also considered.

Environmental Conditions and Transportation Requirements

Depending on the deployment location, the design may address enclosure strength, water ingress protection, insulation, equipment restraint, transportation constraints, and maintenance requirements.

Maintenance and Future Expansion

Service access, component replacement, routine inspection, and potential capacity expansion are considered during the planning stage to help reduce the complexity of future maintenance and modifications.

By addressing these requirements within a coordinated design, Lianli can develop modular enclosure solutions around customers' actual server deployment needs, establishing a clear engineering foundation for equipment configuration, system integration, and project execution.

3. Building an Integrated Delivery Process for High-Density AI Data Centers

High-density AI data center projects require more than individual cooling components. They also require solution providers capable of coordinating infrastructure design and integrating multiple equipment categories around the requirements of the target computing platform.

Drawing on containerized solution projects designed around high-density computing platforms, including NVIDIA GB300-based configurations, Lianli has progressively established a delivery process covering requirements assessment, solution design, product configuration, system integration, and project implementation.

The process connects project requirements with equipment selection and infrastructure planning. At the initial stage, key parameters such as server deployment scale, rack layout, cooling requirements, power conditions, and auxiliary infrastructure needs are identified. Equipment selection and system planning can then proceed in accordance with the project's technical requirements.

During implementation, Lianli can coordinate container structures, liquid-cooled server racks, Coolant Distribution Units, liquid cooling piping, and related equipment according to the agreed project scope and configuration.

Early coordination of equipment layouts and connection interfaces helps identify potential conflicts involving space, piping, electrical connections, and maintenance access before installation begins. This creates better conditions for factory assembly, system checks, transportation, and on-site deployment.

For customers, an integrated project approach can also simplify coordination across multiple equipment suppliers, allowing the enclosure, liquid cooling equipment, and supporting systems to be planned against a common set of project requirements.

By combining product capabilities with modular enclosure design, system integration, and coordinated delivery processes, Lianli is developing a more comprehensive approach to supporting high-density AI data center projects.

4. From GB300 to Vera Rubin: Extending Modular Liquid Cooling Solutions for Next-Generation AI Platforms

The evolution of NVIDIA GB300 and Vera Rubin platforms is placing greater demands on AI data center liquid cooling infrastructure. Different computing platforms may have different rack architectures, equipment layouts, IT power requirements, coolant interfaces, and power distribution specifications.

As a result, modular enclosure solutions must be engineered around the technical requirements of the target equipment rather than relying on a generic container configuration.

Lianli has undertaken containerized solution projects for high-density computing platforms, including GB300-based configurations, and continues to assess the infrastructure requirements associated with next-generation platforms such as NVIDIA Vera Rubin NVL72.

Building on its modular enclosure design approach, Lianli can conduct customized design and compatibility assessments for projects targeting Vera Rubin and other high-density AI computing systems. Depending on the project requirements, this work may cover enclosure structure, rack layout, CDU configuration, liquid cooling piping, and supporting infrastructure.

The final configuration needs to be evaluated against the target system's technical specifications, including rack quantity, IT load, coolant supply and return parameters, hydraulic pressure drop, facility-side heat rejection capacity, power requirements, and site conditions.

This requirements-driven approach allows established modular design and project implementation experience to inform new platform planning while preserving the need for equipment-specific engineering validation.

From GB300-based solution projects to planning for Vera Rubin infrastructure, Lianli's focus extends beyond any single server model to the broader requirements of modular deployment, liquid cooling integration, and engineering delivery for high-density AI data centers.

5. Supporting Data Center Infrastructure Through a Comprehensive Liquid Cooling Product Portfolio

Lianli's data center liquid cooling product portfolio provides a foundation for coordinated equipment selection and infrastructure planning across a range of modular data center projects.

5.1 Modular Containerized Data Centers

Enclosure structure, internal space, equipment arrangement, and supporting infrastructure can be planned around server deployment scale, equipment configuration, and site conditions. This provides an appropriate installation and integration environment for high-density computing equipment.

5.2 Liquid-Cooled Server Racks

Rack configurations can be assessed against server dimensions, load-bearing requirements, coolant interfaces, piping arrangements, and maintenance access to help align computing equipment with the available enclosure space.

5.3 Coolant Distribution Units (CDUs)

CDU selection and configuration can be evaluated against thermal load, coolant flow rate, operating pressure, supply and return temperatures, and system pressure drop. Pump configuration, heat exchangers, instrumentation, control systems, and redundancy requirements may also be considered.

5.4 Liquid Cooling Cold Plates and Associated Components

Lianli provides cold plates and associated liquid cooling components for systems that meet the applicable technical requirements of the target server platform. Product compatibility must be confirmed against interface specifications, coolant parameters, material compatibility, and required thermal performance.

5.5 Supporting Infrastructure and System Integration

Depending on project scope, Lianli can coordinate the layout and interfaces of power distribution, liquid cooling piping, auxiliary heat rejection equipment, operational monitoring, and safety protection systems. This supports coordinated planning and implementation of equipment within the modular enclosure.

By combining liquid cooling products with modular enclosure solutions, Lianli can develop equipment configurations around specific deployment requirements, helping customers move beyond isolated equipment procurement toward more coordinated infrastructure planning.

6. Factory Prefabrication and System Testing to Support Efficient Project Delivery

Rapid deployment of a modular data center depends on more than manufacturing speed. It also relies on clear design requirements, appropriate equipment configuration, coordinated interfaces, and well-defined assembly and testing procedures.

For modular enclosure projects, Lianli can incorporate layout confirmation, product coordination, piping planning, and integration activities into a structured project workflow. Resolving potential installation and interface issues earlier can help reduce adjustments during on-site construction.

Where project requirements and equipment configurations permit, selected assembly, connection inspections, and functional checks can be performed at the factory. These activities may include equipment installation checks, piping connection inspections, electrical interface verification, and relevant functional tests.

Such checks help identify potential issues before transportation and on-site deployment and provide a basis for subsequent commissioning.

A typical project workflow may include:

Requirements Assessment → Solution Design → Product Selection and Configuration → Enclosure Manufacturing and Equipment Integration → Factory Inspection and Testing → Transportation and On-Site Installation → System Commissioning and Handover

This workflow connects design, manufacturing, integration, and delivery activities to improve project coordination and reduce the complexity of repeated on-site work.

For AI data center projects with demanding construction schedules and complex equipment integration requirements, an established design approach and clearly defined implementation process can help support more efficient execution. Actual delivery schedules depend on project scale, equipment lead times, customization requirements, and site infrastructure conditions.

7. Customized Modular Liquid Cooling Solutions for Different Deployment Requirements

AI data center projects vary significantly in their technical and operational requirements. Some focus on high-density GPU clusters, others prioritize phased capacity expansion, while some must accommodate existing site constraints, available power capacity, and facility-side cooling infrastructure.

Lianli can work with customers to assess project requirements and develop solution configurations based on key technical inputs, including:

Target computing platform and rack quantity

Per-rack power density and total IT load

Liquid cooling architecture, coolant parameters, and flow requirements

Site power availability and facility-side heat rejection arrangements

Enclosure dimensions, transportation constraints, and installation environment

Equipment redundancy, operational monitoring, and maintenance requirements

Project schedule and future expansion plans

Once these requirements are established, the enclosure layout, liquid cooling equipment configuration, auxiliary systems, and system integration boundaries can be further defined to align the solution with actual project conditions.

For data center developers, system integrators, and infrastructure providers planning high-density AI deployments, this collaborative engineering approach helps clarify system boundaries early and supports more efficient procurement, integration, and implementation.

Lianli will continue to develop its modular data center, liquid-cooled server rack, CDU, and related liquid cooling capabilities, strengthening its modular solution design and system integration expertise to support containerized liquid cooling projects for high-density AI infrastructure.

From solution design and product coordination to system integration and project delivery, Lianli aims to provide reliable support for high-density AI infrastructure through its modular enclosure solutions and liquid cooling capabilities.

If you are planning an AI data center, a GB300-based liquid-cooled container project, or a modular deployment targeting high-density platforms such as Vera Rubin, contact the Lianli team to discuss your server configuration, rack power requirements, cooling needs, and site conditions. Our team can help assess your requirements and recommend suitable product configurations and solution options.