Trane Technologies announced on March 16, 2026 that it has upgraded its industry‑first thermal‑management reference design for gigawatt‑scale AI factories and added two new Trane Continuum Rubin DSX reference designs. The enhancements deliver a nearly 10% improvement in overall thermal‑management performance compared to the original 1‑gigawatt design, freeing 22 MW of cooling capacity that can be redirected to IT power without increasing total energy consumption.
The new reference designs are engineered to integrate with NVIDIA’s Omniverse DSX Blueprint for AI data centers, enabling operators to create high‑fidelity digital twins and optimize cooling in real time. This partnership allows data‑center managers to simulate and fine‑tune cooling strategies before deployment, reducing risk and accelerating time‑to‑deployment for high‑density AI workloads.
The AI data‑center cooling market is projected to grow at a CAGR of 28.7% from 2026 to 2034, underscoring the strategic importance of Trane’s expanded portfolio. By offering a more efficient, scalable solution, Trane positions itself to capture a larger share of the rapidly expanding AI infrastructure market and reinforces its competitive moat in the climate‑technology space.
Trane’s broader strategy to monetize its 65,000+ connected buildings through AI‑driven services is reinforced by this launch. The enhanced reference designs support Trane’s goal of delivering high‑margin revenue from the AI data‑center sector while advancing sustainability and decarbonization objectives across its portfolio.
"Since the launch of our industry‑first thermal management system reference design, our team has continued to work hand‑in‑hand with NVIDIA to push the boundaries of efficiency, scalability and intelligent simulation for gigawatt‑scale AI infrastructure. These latest advancements represent a major step forward in helping enable the world’s most demanding AI and high‑performance computing environments to scale sustainably, reliably and with accelerated digital insight." – Mauro Atalla, Senior Vice President and Chief Technology and Sustainability Officer
"Efficiently scaling gigawatt‑scale AI factories requires a fundamental shift in how we approach thermal management and data center infrastructure simulation. Trane Technologies' integration with the NVIDIA Omniverse DSX blueprint enables the creation of high‑fidelity digital twins that help operators optimize cooling performance and maximize energy efficiency for the next generation of AI workloads." – Vladimir Troy, Vice President of AI Infrastructure at NVIDIA
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