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Rack density growth is outpacing the deployment readiness of many liquid cooling architectures. As CDU and manifold platforms evolve to support higher densities and common industry rack standards, the gap between product capability and operational readiness is where risk accumulates. We will discuss:

• How the shift in CDU and manifold design is enabling the larger building blocks that gigawatt-scale AI demands
• End-to-end liquid cooling architectures that support interoperability across CDU, manifold, and heat rejection systems
• Integrating services and lifecycle planning into liquid cooling rollouts, including fluid management where applicable
• Using technical validation and case-led insights to reduce implementation risk