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Huawei's Groundbreaking AIDC Solution at HUAWEI CONNECT 2026

On September 20, 2026, Shanghai hosted the highly anticipated HUAWEI CONNECT 2026, where transformative advancements in AI infrastructure were unveiled. The event featured the HUAWEI AIDC Facility Summit, where Huawei showcased its innovative grid-interactive AIDC solution, setting new benchmarks in AI infrastructure development.

Insights from Huawei’s Leaders

At the summit, Hou Jinlong, the Director of Huawei's Board and President of Huawei Digital Power, opened the event with profound insights into architectural innovation. He emphasized the critical challenges faced in AIDC construction including power acquisition, quality, supply management, and efficient heat dissipation.

1. Innovative Power Architecture: The introduction of a cutting-edge power architecture, complemented by liquid cooling technology, ensures a reliable and efficient power supply. This design delivers exceptional reliability and efficiency, addressing fundamental issues in the data center landscape.

2. Hybrid Energy Storage: The deployment of a multi-layer hybrid energy storage system significantly mitigates local power fluctuations, thereby enhancing overall power quality and making the AIDC more grid-friendly. This adaptive energy architecture fosters seamless integration into the existing power grid, rather than operating in isolation.

3. Electricity-Compute Synergy: The AIDC solutions are evolving towards a synchronized model of electricity and computing, transitioning AI workloads into a dynamic component of the power system. This interaction is key to optimizing operational efficiencies.

4. Construction Mode Innovation: By leveraging modular and prefabricated approaches to construction, the time required for engineering delivery is vastly reduced—streamlining operations in both deployment and execution.

Mr. Hou stressed that the dual goals of maximizing tokens per watt and minimizing costs per token are essential to establishing competitive advantage in the rapidly evolving computing environment.

Revolutionizing AI Workloads

Bob He, Vice President of Huawei Digital Power, elaborated on how the growing prevalence of renewable energy requires a reevaluation of power grid dynamics. He noted that as AI workloads become increasingly variable, the synergy between computing and energy management becomes crucial. The grid-interactive AIDC solution aims to address these fluctuations effectively.

Innovative Solutions Adopted

Huawei's grid-interactive AIDC 1.0 solution is designed to solve these industry challenges. It integrates several cutting-edge technologies:

• - Grid-Friendly UPS: This unit is designed to adapt efficiently to fluctuations in electricity demands, ensuring stability across AI operations.
• - Intelligent Lithium Batteries: These batteries provide an adaptable and efficient power storage solution, optimizing energy use during peak demand periods.
• - Grid-Forming Energy Storage Systems: These systems not only support the grid but actively adapt to shifts in AI workloads.

In the domain of heat management, the introduction of an AI-powered liquid cooling system goes beyond traditional methods by predicting the health of working fluids and facilitating predictive maintenance. This predictive capability enhances operational efficiency and reliability, a crucial factor for data handling at scale.

The Future of AI Infrastructure

Xia Qin, Chief Expert in Huawei Computing Strategy, highlighted critical trends impacting AIDC evolution towards integrated compute-network-storage architectures. The envisioned energy systems must be resilient, efficient, and rapidly deployable for large-scale AI operations to thrive. It sets a robust foundation for extensive AI training and inference in emerging technological landscapes.

The summit also featured perspectives on redefining power sources and facilitating effective interaction among various energy systems, enhancing grid operations and fostering innovative energy management approaches. This redefinition maximizes interaction between renewable power generation and AI computation, promising efficient and reliable AI-driven infrastructure.

Lin Hai from SenseTime also contributed insights into the evolving metrics of AI efficiency focusing on Tokens per Watt (TPW). Transforming conventional metrics from Power Usage Effectiveness (PUE) to TPW is asserted as essential for the next stage of AI operations, creating a direct link between energy use and computational output.

Conclusion

The ambitions set at HUAWEI CONNECT 2026 are not merely aspirational; they represent a futuristic blueprint for AI infrastructure through the innovative grid-interactive AIDC solution. Secure, energy-efficient, and quickly deployable infrastructure lays the groundwork for a responsive future in AI technology.