Vena Group launches AI-ready data centre infrastructure arm

Green solutions provider Vena Group has launched Vena Nexus, a wholly-owned subsidiary dedicated to the development of AI-ready data centre infrastructure ('AI-DC').

Vena Group has transferred all related activities, personnel, and development pipeline for AI-DC solutions from Vena Energy, its renewable energy arm, to Vena Nexus. 

The move reflects Vena Group’s ambition to deliver hyperscale-grade AI-DC campuses deeply integrated with large-scale renewable power projects, as well as distributed edge facilities co-located with its renewable energy sites - purpose-built to support traditional demand as well as AI training and inference workload, real-time data processing, and low-latency compute.

Vena Nexus inherits a pipeline of approximately 3 GW of data centre developments originally initiated within Vena Energy, including over 1 GW of AI-DC projects with secured power, land, and permits. 

The company is backed by a team of 60 specialists across data centre development, digital infrastructure, commercial strategy, and investment. It also leverages Vena Group’s broader corporate platform, comprising nearly 700 professionals in development, construction and operations, and more than 300 specialists in legal, finance, ESG, procurement, and other corporate functions. 

Its current footprint includes Japan, Singapore, Malaysia, and the Philippines, with ongoing expansion into Thailand, South Korea, Australia, and other existing Vena Group markets across the Asia Pacific region. 

“The establishment of Vena Nexus enables sharper execution, focused capital deployment, and dedicated partnerships, while maintaining strong integration with Vena Energy as the power enabler behind our digital growth," said Nitin Apte, CEO of Vena Group.

Simone Grasso, chief investment officer of Vena Group and global head of Vena Nexus, said the company is focused on integrating high-performance data centre infrastructure with grid-ready energy solutions, enabling clients to scale AI workloads in markets where capacity and sustainability are increasingly difficult to secure.

"This platform allows us to move with speed and clarity across development, engineering, and commercial engagement, while anchoring our strategy in long-term infrastructure value," said Grasso.