InfraPartners, a designer and builder of prefabricated AI data centres, today announced the launch of a new research function, InfraPartners Advanced Research and Engineering. Led by recent hire Bal Aujla, previously the Global Head of Innovation Labs at BlackRock, InfraPartners has assembled a team of experts based in Europe and the US to act as a resource for AI innovation in the data centre industry. The function seeks to foster industry collaboration to provide forward-looking insights and thought leadership.
AI demand is driving a surge in new global data centre builds, which are projected to triple by 2030. AI-specific infrastructure is expected to drive approximately 70% of this growth. Additionally, regulation, regionalisation, and geopolitical shifts are reshaping infrastructure needs. As a result, operators are looking at new ways to meet these changes with solutions that deliver scale, schedule certainty, and accelerated time-to-value while improving sustainability and avoiding technology obsolescence.
InfraPartners Advanced Research and Engineering intends to accelerate data centre innovation by identifying and focusing on the biggest opportunities and challenges of this next wave of AI-driven growth. With plans for Gigawatts (GWs) of data centre builds globally and projected investments reaching nearly $7 trillion (£5.15 trillion), the impact of new innovation will be significant.
Through partnerships with industry experts, regulators, and disruptive newcomers, the InfraPartners Advanced Research and Engineering team aims to foster a community where ideas and research can be shared to grow data centre knowledge, capabilities, and opportunities. These efforts will aim to advance the digital infrastructure sector as a whole.
“At InfraPartners, our new research function represents the deliberate convergence of expertise from across the AI and data centre ecosystem. We’re bringing together professionals with diverse perspectives and backgrounds in artificial intelligence, data centre architecture, power infrastructure, and capital allocation to address the evolving needs of AI and the significant value it can bring to the world,” says Bal Aujla, Director, Head of Advanced Research and Engineering at InfraPartners. “This integrated team approach enables us to look at opportunities and challenges from end-to-end and across every layer of the stack. We’re no longer approaching digital infrastructure as a siloed engineering challenge. Instead, the new team will focus on the initiatives that have the most impact on transforming data centre architecture and creating business value.”
InfraPartners Advanced Research and Engineering says it has developed a new design philosophy that prioritises flexibility, upgradeability, and rapid refresh cycles. Called the ‘Upgradeable Data Center,’ this design, it claims, future-proofs data centre investments and enables greater resilience and sustainability in a fast-changing digital landscape.
“The Upgradeable Data Center reflects the fact data centres must now be built to evolve. In a world where GPU generations shift every 12–18 months and designs change significantly each time, it is no longer viable to build static infrastructure which has decades-long refresh cycles. Our design approach enables operators to deploy the latest GPUs and upgrade data centre infrastructure in a seamless way,” notes Harqs Singh, Chief Technology Officer at InfraPartners.
In its first white paper, Data Centers Transforming at the pace of Technology change, the team explores the rapid growth of AI workloads and its impact on digital infrastructure, including the GPU technology roadmap, increasing rack densities, and the implications for the modern data centre. It highlights the economic risks and commercial opportunities emerging from these trends and introduces how the Upgradeable Data Center is seeking to enable new data centres to transform at the pace of technology change.
InfraPartners’ model is to build 80% of the data centre offsite and 20% onsite, helping address key industry challenges like skilled labour shortages and power constraints, whilst aligning infrastructure investment with business agility and long-term growth.
