EdgeConneX has joined the Sustainable Tropical Data Centre Testbed Phase 2.0 (STDCT 2.0) Consortium in Singapore, committing multi-year funding to research into cooling and power systems for high-density facilities.
As the consortium’s top-tier anchor partner, EdgeConneX will contribute to a shared infrastructure pool managed by the programme team and take part in selected projects.
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The company said it would apply its data centre experience to the work, including its high-density solution, Ingenuity.
The consortium is led by the National University of Singapore (NUS), which oversees the testbed, programme management and industry collaboration.
NUS also directs development of cooling, power and heat rejection technologies, along with an AI-native digital twin.
STDCT was launched in November 2023 and hosted at the College of Design and Engineering at NUS.
It was set up to strengthen Singapore’s position in sustainable and efficient data centre design.
Phase 2.0 turns to AI-ready facilities, examining technologies such as advanced liquid cooling and grid-responsive operations for ultra-high-density racks.
The programme is technology- and operator-agnostic and is intended to bring together academia and industry to evaluate, validate and de-risk sustainable solutions for tropical operating conditions.
EdgeConneX engineering SVP Thorsten Ziegler said: “EdgeConneX is excited to provide its multi-year support to this established research programme. With AI workloads driving a dramatic increase in rack densities, the industry is rethinking how data centres are designed, powered, cooled, and upgraded.
“We see value in programmes like STDCT 2.0, which bridge research and deployment by testing physics-informed design and digital twin technologies in live operating environments and translating innovation into practical, scalable solutions.”
The company will co-invest in the shared research infrastructure and join collaborative research and development, technology integration and field validation.
That infrastructure will comprise modular test environments, liquid-cooling and heat-rejection systems, instrumentation and telemetry platforms, and the digital twin used for modelling, predictive operations and lifecycle assessment.
