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Flex Partners with NVIDIA for Next-Gen AI Data Centers

In a significant move towards revolutionizing artificial intelligence infrastructure, Flex, a leading technology manufacturer, has announced its partnership with NVIDIA. This collaboration aims to enhance the development of modular data center systems designed specifically for the expansive demands of AI applications. As companies increasingly turn to AI and machine learning technologies, the need for efficient, high-performance data centers has never been more crucial.

Flex, which trades under the NASDAQ symbol FLEX, is well-positioned to support data center operators facing challenges related to power consumption, heat management, and scaling their operations to meet increased demand. Michael Hartung, president and chief commercial officer at Flex, emphasized the company's commitment to helping data center operators navigate these hurdles. He stated, "Flex is at the forefront of supporting data center operators to overcome escalating power, heat, and scale constraints of the AI era."

Enhanced Manufacturing Capabilities

The collaboration leverages Flex’s substantial manufacturing capabilities and global footprint to deliver high-performance, energy-efficient AI factories at unprecedented scales. One of the key features of this partnership is Flex’s advanced modular systems that integrate seamlessly with NVIDIA’s cutting-edge technologies. As part of this initiative, Flex is launching a new 400,000 square foot facility in Dallas, specifically designed to accelerate data center infrastructure in the U.S. This strategic move aims to significantly reduce lead times for U.S. customers looking for robust AI solutions.

By focusing on energy-efficient design and integration, Flex ensures that the new AI facilities will not only meet but exceed existing industry standards. They intend to incorporate NVIDIA’s cuOpt technology for capacity planning alongside digital twin technology that unifies inventory, labor, and freight operations. This approach is expected to streamline logistics across Flex's global network and improve the efficiency of AI data centers drastically.

Achieving Sustainable Growth

As the demand for AI capabilities continues to grow, Flex’s innovative solutions will play a pivotal role in supporting the expansion of data center infrastructures. The company is not only dedicated to efficiency and performance but also aims to follow responsible manufacturing practices that align with sustainability goals. Flex’s leadership in both the data center and automotive sectors is paving the way for new standards and practices that prioritize energy conservation.

In addition to optimizing data centers, the collaboration also explores opportunities in the automotive industry. Flex and NVIDIA are working together to integrate NVIDIA's DRIVE AGX Orin systems-on-a-chip into Flex’s Jupiter design platform. This project was recognized with a 2025 Automotive News PACE Award for its contributions to accelerating the delivery of software-defined vehicles and advanced driver-assistance systems at scale.

A Bright Future Ahead

Flex's partnership with NVIDIA signals a transformative phase in the deployment of AI infrastructure. Both companies have a vision to create an ecosystem where modular data centers can meet rapidly increasing demands without compromising on performance or energy efficiency. As the digital landscape evolves, collaborations like this one are essential for pushing technological boundaries and fostering innovation.

Not only does this initiative underline Flex's commitment to technological advancement, but it also reaffirms the company's role as a responsible manufacturing partner that addresses the critical needs of industries dependent on AI and data centers. With a bright future ahead, Flex and NVIDIA are jointly paving the way for a new age of AI-driven efficiencies in data management. As these projects come to fruition, industries can expect revolutionary changes to how data is processed and utilized, marking a new chapter in the evolution of technology.