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In 800VDC data center architectures, Power to GPU solutions play a critical "last-mile" role. They are responsible for precisely and efficiently stepping down the intermediate voltage (such as 48V or 12V) from the high-voltage DC-to-low-voltage DC conversion stage to the ultra-low voltage (typically below 1V) required by the GPU core, while delivering currents up to thousands of amperes to the chip.

In 800VDC data center architectures, high-voltage DC to low-voltage DC (HVDC to LVDC) conversion plays the critical role of a "voltage adaptation hub." It is responsible for efficiently converting the high voltage from the 800V DC busway distribution system into the low voltages (such as 48V, 12V, or even below 1V) required by compute chips like GPUs and CPUs.

In the power delivery chain from grid to chip, the Solid-State Transformer (SST) plays the core role of a "transformative power hub."

In the new generation of AI factories driven by 800V DC architecture, AI robotics have transcended the realm of simple automation tools to become the "intelligent operations executors" and "data sensing terminals" that ensure efficient, safe, and stable factory operations.

In 800VDC data center architectures, cooling infrastructure and building automation play the dual roles of "thermal management neural center" and "intelligent operations brain." Although they do not directly participate in power conversion, they are key support systems that determine whether an AI factory can operate stably, efficiently, and sustainably.

In the "grid-to-chip" power supply chain, the 800V DC busway distribution system plays the core role of the "power aorta." It receives 800V high-voltage DC power from front-end power sources such as solid-state transformers (SSTs) and efficiently and safely "pumps" it to every cabinet in the data center.

The explosion of AI computing power is reshaping every corner of the data center, with rack power leaping from tens of kilowatts to the megawatt level. Traditional 400V AC architectures are approaching physical limits in transmission efficiency, copper losses, and space utilization.

In today's rapidly evolving robotics landscape, engineers are confronting unprecedented challenges. As robots transition from controlled industrial environments to dynamic and unpredictable settings - from households to complex service environments - the demand for precise sensory feedback has never been greater.

With the rapid advancement of smart manufacturing and automated logistics, Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) are increasingly becoming essential core equipment in modern factories and warehousing systems.

With the rapid advancement of smart manufacturing and logistics automation, mobile robotics have found widespread applications in warehouse handling, inspection, and smart factory environments. In these applications, both the efficiency of drive systems and positioning accuracy directly impact overall operational energy consumption and work performance.

Autonomous Mobile Robots (AMRs) are transforming logistics and manufacturing by streamlining material transport with flexibility and efficiency. To operate effectively in warehouses and factory floors, AMRs must maintain continuous operation, withstand demanding environmental conditions and maximize battery life while maintaining robust wireless and data connectivity.

Modern consumer medical healthcare wearable devices are becoming increasingly affordable and are becoming mainstream. These devices incorporate advanced sensors and are battery-powered, such as over-the-counter (OTC) hearing aids and continuous glucose monitors (CGMs).