Amazon Accelerates AI Data Center Builds With Liquid Cooling and Faster Timelines

The effort focuses on shortening the timeline from the start of building the outer shell of a data center to the first operational server room to under 35 weeks. That is well below typical industry standards. Titus also increases total compute capacity per site to about 68 megawatts from about 58 megawatts.

The company is expanding use of liquid-cooling systems that can be deployed more broadly than in previous designs. One internally developed technology called the In-Row Heat Exchanger allows support for both traditional workloads and demanding AI applications within the same facilities.

Internal targets call for a 15 percent reduction in cooling power consumption compared with current designs.

Titus is preparing data centers for new generations of AI servers including Nvidia GB200 systems and beyond. Newer versions will feature wider aisles to accommodate larger racks and cabling that extends from the front of servers. A newer iteration of the Titus design is scheduled to roll out in the first half of 2027 in time for even more powerful platforms with higher memory capacity and faster networking.

The project also seeks to reduce costs and environmental impact. Internal goals include a 10 percent reduction in cost per kilowatt of IT capacity while meeting 2028 carbon-emissions intensity targets and stricter noise standards. Facilities are being made more adaptable so that blocks of servers known as PODs can be scaled quickly without custom redesigns.

Power and Increasing Flexibility

Engineers are working to minimize unused electrical capacity referred to as stranded power by lowering minimum rack power requirements. This allows data centers to mix servers of varying power demands so that available electricity is used more fully rather than sitting idle when only high-intensity AI workloads are running.

The initiative began with a focus on faster construction to meet surging demand but has broadened into a comprehensive upgrade for future AI chips. An AWS spokesperson said the Titus initiative supports the next wave of AI workloads and is separate from another modular data-center project internally called Houdini.

" — AWS spokesperson (Business Insider) The AI boom is driving major changes in how cloud providers build physical infrastructure. Amazon plans a record $200 billion in capital expenditures this year with much of it directed toward AI data centers. The company has promoted its infrastructure services vice president to its top leadership group last month.

Reyk Knuhtsen, an analyst at SemiAnalysis, described the push toward faster deployment and broader liquid cooling as an important strategy. Internal planning documents reviewed by Business Insider frame the core question as how to future-proof data center designs and respond more effectively to capacity signals from existing and future services.

The documents indicate the Titus portfolio aims to deliver the next generational data center design. This reflects the industry's shift away from traditional air cooling as AI hardware grows more demanding. Liquid-cooling deployments are becoming central to supporting next-generation GPUs and servers.