#USA #San Diego #AI Data Centers #Wiwynn #Fabric8Labs

Fabric8Labs Teams Up with Wiwynn for Breakthrough Cooling Solutions at Computex 2025

Introduction

Fabric8Labs, Inc., a prominent player in Electrochemical Additive Manufacturing (ECAM), has announced an exciting collaboration with Wiwynn, a leading provider of cloud IT infrastructure. This partnership aims to showcase advanced cold plate technology designed for next-generation AI data centers at Computex 2025. Set to take place from May 20 to 23 at the Taipei Nangang Exhibition Center, this event marks a significant step towards cornering the market on custom cooling solutions.

Innovations in Cooling Technology

The growing demands of AI workloads and high power density computing necessitate innovative cooling solutions. Fabric8Labs and Wiwynn combine their expertise to present cold plates that leverage ECAM technology to efficiently manage thermal challenges. By addressing the rising thermal requirements, these solutions promise to enhance system reliability while reducing operational costs.

Benefits of Customization

At the heart of this collaboration is the ECAM process, which allows for the design of cold plates that are customized to match the specific needs of AI accelerators. This approach helps create parametric optimization of fin structures, enabling better coolant distribution over thermal hotspots. As a result, these cold plates provide thermal-hydraulic performance that significantly outperforms traditional microchannel technologies, showing enhancements of up to 48%.

Value Addition for Data Centers

The integration of ECAM-enabled components into Wiwynn's data center infrastructure translates into better cooling performance, improved device reliability, and a lower total cost of ownership. Ian Winfield, VP of Product Applications at Fabric8Labs, emphasizes this advancement, stating, "ECAM enables cooling solutions to be designed specifically for the underlying SoC power map, optimizing performance, efficiency, and device reliability."

Expert Insights

Lentis Pai, Director at Wiwynn, echoed this sentiment by reiterating the significance of these cooling solutions. He noted, "We are thrilled to showcase the innovative ECAM-based cold plates, in collaboration with Fabric8Labs at Computex. This advanced solution delivers superior thermal performance to enhance liquid cooling capabilities."

Their joint efforts are set to redefine the standards of data center cooling, merging breakthrough manufacturing technologies with top-tier infrastructure design. The objective is to satisfy the escalating demands of contemporary AI-oriented computing environments, ensuring a more efficient, scalable, and sustainable future.

Fabric8Labs: A Leader in Manufacturing Technology

Founded in 2015 and headquartered in San Diego, California, Fabric8Labs has transformed the landscape of manufacturing with its proprietary ECAM technology. This innovative method has applications across various fields, including electronics, medical devices, and semiconductor manufacturing. Their advancements in thermal management solutions and power management components hold promise for better performance in data centers.

About Wiwynn

Wiwynn is known for its commitment to creating high-quality computing and storage solutions. They focus on optimizing total cost of ownership and energy efficiency for data centers, continually investing in next-generation technologies. Their collaborative effort with Fabric8Labs not only enhances their offerings but also assists in pushing the boundaries of performance in server design.

Conclusion

The collaboration between Fabric8Labs and Wiwynn represents a benchmark in the evolution of cooling technologies for AI data centers. As they prepare to unveil their innovative cold plates at Computex 2025, industry stakeholders can anticipate a transformative impact on thermal management strategies that will support the growing demands of AI workloads. With the promise of superior performance and reliability, this partnership helps pave the way for the future of data center infrastructure.