The challenge is no longer access to data

As rack power densities continue to increase across hyperscale, neocloud, and enterprise data centers, operators are under growing pressure to improve cooling performance while reducing energy consumption

Exploring PG25, dielectric fluids, and ASHRAE recommendations

Water has become one of the newest variables in data center planning – and one of the most regulated

As rising temperatures and high-density AI workloads place increasing pressure on critical infrastructure, modernizing cooling systems are becoming essential for maintaining uptime, efficiency, and resilience

Identifying which liquid cooling architecture to design for

Australia’s data center market is entering a new phase of growth

Building the infrastructure of tomorrow requires an entirely new approach that moves far away from bespoke, piecemeal solutions

Increasing densities, equipment varieties, and services have led to complexity challenges. What the market needs is integrated solutions from a provider that can support the AI wave at every step

As data center power density climbs, successful infrastructure planning depends on understanding how power availability, cooling strategy, and deployment timelines influence one another

The benefits of RDHxs for today's AI environments

The time has come for the data center industry to agree upon a new efficiency metric, one that is both intuitive and informative

The AI factory era has arrived

Liquid cooling offers the performance and efficiency needed to manage the intense heat of GPU-driven workloads, reducing energy use while improving reliability

As the demand for AI and HPC infrastructure continues to grow, the move from air cooling to liquid cooling will become increasingly important for cooling AI workloads

The CDU is not merely a piece of equipment; it is a gateway to enhanced performance, sustainability, and reliability in the digital age

With AI operations, efficiency isn’t just about how much energy you consume. Rather, it’s about how much compute you produce from it, making output a more meaningful measure of performance

The smartest strategy isn’t choosing one approach over the other indefinitely, but aligning cooling decisions with current workload demands while maintaining flexibility

Built with scalability and flexibility at the core, AI pods enable operators to expand capacity as technology evolves – without rearchitecting their facilities

Making a choice comes down to the specific requirements of the liquid cooling architecture in each implementation

Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively meets the power and GPU-intensive demands of high-density data centers

The transition to 800VDC represents a significant step forward in how data centers power high-density workloads – but it doesn’t require a complete reinvention of cooling

AI factories are pushing data center power and cooling requirements beyond traditional limits, making integrated AI data center infrastructure essential

By focusing on design, deployment, and proactive maintenance, operators can harness the full potential of liquid cooling systems and specialized components

Organizations that modernize their brownfield spaces fastest will capture AI growth sooner and more efficiently

The ability to scale watts and heat together without introducing reliability or efficiency penalties provides a competitive advantage for data center operators

Data center operators can take steps now toward interdependence

Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively cools hotter workloads and keeps critical infrastructure running at peak uptime and efficiency