AMD, the renowned technology company, has made a significant move in the realm of data center AI by acquiring ZT Systems. The deal, valued at $4.9 billion in cash and stock, marks a strategic decision by AMD to expand its offerings in the rapidly growing AI accelerator market. This acquisition is poised to enhance AMD’s capabilities in delivering cutting-edge solutions for data center infrastructure.
With over 50 years of experience in high-performance computing and visualisation technologies, AMD is well-positioned to leverage ZT Systems’ expertise in system design, integration, and manufacturing. By combining forces, the two companies aim to drive innovation in AI hardware and software development, paving the way for advanced data center solutions.
Dr. Lisa Su, AMD’s Chair and CEO, expressed enthusiasm about the acquisition, highlighting the potential to enhance AMD’s AI accelerator portfolio. The integration of ZT Systems’ industry-leading infrastructure solutions with AMD’s product offerings is expected to enable the delivery of comprehensive data center AI infrastructure on a large scale.
ZT Systems, with its 29-year history of supplying hyperscale server solutions for cloud computing and artificial intelligence, brings valuable experience to the table. The impending acquisition is set to be finalised in the first half of 2025, subject to regulatory approvals.
Following the transaction, ZT Systems will become part of the AMD Data Center Solutions Business Group, with Frank Zhang, CEO of ZT, leading the manufacturing operations. This partnership is poised to strengthen both companies’ positions in the AI and data center markets, opening up new opportunities for growth and innovation.
In the ever-evolving landscape of technology, collaborations like the AMD-ZT Systems acquisition showcase the industry’s commitment to driving progress and meeting the demands of an increasingly digital world. As the deal unfolds, industry stakeholders and observers are eager to see how this strategic partnership will shape the future of data center AI infrastructure.