Submer Group, a provider of AI data center infrastructure, has announced the launch of Rubix Data Centers, its new data center platform that will develop and operate AI data center campuses across the Americas, EMEA, and APAC regions.
It has an initial powered land portfolio of over 8 GW, and is backed by M&G Investments, Planet First Partners, Norrsken VC, and Mundi Ventures. The move follows the launch of Submer’s neocloud business inferX in late 2025, Rubix aims to deliver AI data center campuses for hyperscale end-users.
“As Submer evolves into a fully integrated, full-stack AI infrastructure group spanning land and power, manufacturing, thermal and product architecture, AI intelligence, compute across core data centers and edge environments – and now, data center development and operations with Rubix – we’re creating a future-ready foundation built for performance, efficiency, and global scale,” said Patrick Smets, CEO, Submer Group.
Rubix’s global expansion will be led by John Eland, who will serve as CEO. He will be joined by Senior Vice President Alison Gutman, heading global business operations to support scalable, high-performance growth.
“Thanks to its long-standing reputation for excellence in sustainable cooling for ultra high-density workloads and its neocloud business InferX, Submer has close relationships with GPU manufacturers as well the hyperscale end users of GPU as-a-Service. This gives Rubix an early line of sight into AI demand workloads,” said Eland. “I am excited to launch Rubix and grow our global business to enable our clients to scale AI and cloud deployments with speed, efficiency, consistency, and sustainability.”
Readers would recall that Submer has initially indicated plans to enter the data center space as early as in March 2025, when it announced that it will build its first data center, a 56 MW facility in Barcelona, which will serve as a first phase of more deployments across Europe. Rubix launches at a time when AI is driving unprecedented infrastructure demand globally, driving greater demand for larger-scale environments, higher-density compute architectures, and faster deployment models across strategic markets.