Zhibao Technology Acquired NEXSYS TECH for AI Expansion

The firm purchased the Malaysian entity to develop high-performance computing infrastructure in Southeast Asia.

Updated on Sept. 28, 2026 in Data Centers

Isometric editorial illustration of server hardware racks and modular industrial cooling pipes, representing AI computing infrastructure development. — Zhibao Technology has finalized an agreement to acquire NEXSYS TECH, aiming to bolster high-performance GPU server infrastructure for AI development in Southeast Asia. AI Illustration. Upload story photo >

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Zhibao Technology has entered a definitive agreement to acquire 100% of the shares of NEXSYS TECH. This deal aims to build an AI computing infrastructure business to serve Chinese companies.

Why it matters

The acquisition allows Zhibao Technology to expand its strategic scope into high-end GPU server operations. By leveraging existing data center arrangements, the company seeks to capture demand for high-performance computing power.

The deal includes 26 megawatts of rack power capacity across facilities in East Malaysia and Indonesia. Earn-out payments are contingent on achieving a cumulative audited net profit of $3.015 million over 27 months.

The players

Zhibao Technology

This corporation acts as the acquiring party and is looking to pivot its business model toward artificial intelligence infrastructure.

NEXSYS TECH

A newly incorporated Malaysian entity that holds strategic data center agreements throughout East Malaysia and Indonesia.

The details

Zhibao Technology will take control of the newly incorporated Malaysian entity, NEXSYS TECH, to focus on GPU-based high-performance hardware. The operations are designed to provide computing leasing services specifically for AI developers in China.

September 28, 2026: Zhibao Technology signed the definitive merger and acquisition agreement.
October 1, 2026: The start date for the 27-month earn-out evaluation term.
December 31, 2028: The conclusion of the 27-month evaluation period for profit targets.

The Tech Race

This acquisition reflects the broader industry shift toward decentralizing AI infrastructure by securing international data center capacity. It positions the firm to compete in the high-performance computing market by directly addressing the power requirements of modern GPU clusters.

For developers and AI companies, this move signals an increase in available GPU server capacity for high-performance computing leases. Users may see more streamlined access to hardware resources as these regional data centers reach operational status.

The takeaway

The move demonstrates how firms are using mergers to quickly secure the physical infrastructure needed to power sophisticated AI models. Companies seeking to scale should monitor how these power-intensive agreements influence future compute leasing costs.