#United States #FLEX #San Jose #AI Infrastructure #Gigawatt Data Centers

Introduction

On October 13, 2025, during the OCP Global Summit in San Jose, California, Flex officially introduced its revolutionary data center platform. This platform is tailored to meet the needs of next-generation gigawatt data centers, particularly those supporting Artificial Intelligence (AI) and High Performance Computing (HPC). With increasing demand for rapid deployment in the tech sector, this new offering promises to accelerate the time it takes for organizations to scale their infrastructure by up to 30%.

The Need for Speed

As AI technologies become more pervasive, the challenges associated with rising power consumption, heat generation, and scaling of data centers have become critical. Michael Hartung, president and chief commercial officer at Flex, highlighted the urgency for data center operators: “They must overcome these challenges to deploy infrastructure at unprecedented speed.” Flex's integrated platform is designed specifically to address these issues, facilitating more efficient construction and deployment processes.

What the Platform Offers

Flex's AI infrastructure platform is described as the first of its kind to unite essential components—power, cooling, compute, and services—into a cohesive solution. The platform features modular designs that can be pre-engineered for quicker and more predictable installations. Here are some key features of the platform:

1. Faster Deployment: Operators can expect a 30% increase in time-to-market, allowing for faster revenue recognition.
2. Integrated Innovations: The platform provides a unified solution that advances breakthroughs in rack design, cooling, and power supply.
3. Extensive Hardware Capabilities: By integrating compute with necessary infrastructure, it ensures higher performance and efficiency.
4. Flexible Architecture: Designed with a partner-friendly approach and adaptable to preferred Original Equipment Manufacturers (OEMs).
5. Lifecycle Intelligence: Features built-in monitoring and predictive analytics to optimize performance.

Breakthrough Products

The platform debuts with several notable innovations aimed at tackling the escalating challenges related to power, heat, and scale. Some of these innovations include:

• - 1MW Racks: High-density, liquid-cooled IT racks that support +/-400V and facilitate the transition to 800VDC power architectures.
• - Capacitive Energy Storage System: This first-to-market system is UL 1973-certified, designed to mitigate electrical disturbances stemming from demanding AI workloads.
• - Modular Rack-Level Coolant Distribution Unit (CDU): This scalable solution delivers flexible cooling capacity to adapt to evolving AI and HPC workloads.
• - Prefabricated Power Pods and Skids: Simplifying installation and construction processes, these pre-engineered systems can significantly reduce the time and labor required for deployment. Customers could see project timelines reduce from 12 months or more to just 6-12 months.

Global Support and Sustainability

Flex’s extensive global manufacturing and supply chain networks underpin this innovative platform. By ensuring robust scalability, resilience, and speed in deployment, Flex offers comprehensive support throughout the entire product lifecycle, from design and sourcing to deployment and beyond. This commitment not only enhances product reliability but also aligns with sustainable practices.

Conclusion

Flex’s launch of this AI infrastructure platform marks a significant advancement in data center technology designed for AI and HPC needs. By addressing major operational challenges and ensuring faster deployment capabilities, Flex empowers data center operators to keep pace with the soaring demands of AI technology. As the tech world continues to evolve, such innovations are crucial in maintaining efficiency and effectiveness in infrastructure management. Keeping a close eye on this development will be essential for industry professionals looking to stay ahead in the ever-competitive landscape of technology and data management.