From the 5G base station to the Vanca GPU cluster, the AI-driven computing age is rewriting the rules of the power system. The power density of the training and reasoning cluster is rising, and the gap between the power utilization factor and the carbon emission index of the data centre is sufficient. In this invisible energy efficiency contest, the performance of power semiconductors directly determines the success or failure.
Communication infrastructure is undergoing a profound transformation. AI servers pose unprecedented challenges to power systems: higher power density, lower wear and tear tolerance, more stringent heat management requirements. The traditional power supply structure is stretched in the face of this round of technology overlaps, and there is an urgent need for industry to find a breakthrough at the criticalware level.
It's full of links. MOT gives us a system-level answer.
For many years in the area of deep-drying power semiconductors, a system-level selection scheme with a rigorous validation of the key PFC, LLC, Synchronization Stream and VBUS components is provided around the full chain of AI server power from communication input to direct output.
01
PFC level: efficient flow management, loss from source
Power factor correction (PFC) is the first level of server power supply. The following combinations of instruments are recommended to achieve efficient conversion within the hyperwide load:
PFC Switches (650V / 28 – 40m): MOT65R040W, MOT65R028W, MOT65R070W. Toll containment is designed to carry large currents in a limited space, which are extremely low-conductive and effectively compressed and deplete and contribute to more than 99% efficiency at the PFC level.
• PFC Sic Shortki diode, 600V / 6-10A: MOT 10065A2, MOT06065A2. Silicon carbide-entrusted devices are subject to almost zero reverse recovery losses, with a significant reduction in heat generation under a high frequency switch, and in collaboration with SiC MOSFET, the overall efficiency can be raised to a new height.
• Overhead MOSFET (SJ MOS, 600/650V / 280-400m): MOT60R380F, MOT60R280F, MOT65R380F, MOT65R280F. The ultra-low Rds(on) combined with the superior bipolar tube properties are particularly prominent in the totem pole-free PFC piping and are the preferred devices for high-power density designs.
02
LLC level: soft switch, efficiency
Balance with noise
LLC expands on natural soft switch properties to become the mainstream selection of the main power isolation level of the AI server. Pyramid LLC switch tubes (600/650V / 100 – 180 m times) – MOT60R180HF, MOT60R120HF, MOT65R180HF, MOT65R120HF – for resonance work model Depth optimization, with very low grid polar charge and excellent switch wave shape, EMI performed well and met the stringent certification requirements for EMC from server power.
03
▍Synthetic current level: large current output,
Microconductor
From the secondary side of the quarantine transformer to the GPU/CPU direct stream power supply, synchronized current consolidation MOS carries the final large current conversion task. MOT offers a full range of products covering 40-100V, 90-150A:
MOT90N06A, MOT100N07A, MOT120N10A, MOT120N85A, MOT150N10A (plug-in); MOT4124G, MOT1145G, MOT4137G, MOT6142G (plug-in).
Super-low Rds (on) are designed to compress the conductive pressure down to the limit in a large current scenario, to achieve an efficient continuation of the fast-activated diode, to effectively reduce thermal run-off on the secondary side and to guarantee the stability and reliability of the GPU power supply.
04
VBUS: End protection, system
Security floor
The AI server VBUS output end faces the double test of wave shock and load mutation. MOT launched MoT3112G, MOT3114G (30V) and MoT4117G (40V), designed specifically for the export of VBUS protection and load switches applications, with low-conducting electrical resistance and excellent ESD protection capabilities, providing a strong safety line at the end of the system.
MOT
From the device to the system, the value of MOT is more than that.
The complete AI server power selection matrix above covers every key node from communication input to the end of the straight stream. MOT not only provide single-piece devices, but also export, from a systematic perspective, a combination of thermal simulation and electrically validated reference programmes, helping engineers to compress selection cycles, avoid design risks and accelerate product volume listing.
In the final analysis, competition for energy efficiency. With continuous technical input and stringent quality control, MOT sharpens every TOLL product as a reliable cornerstone of the AI infrastructure – to transform every watt energy into a true calculator value, and to enable China’s power semiconductor to stand up in the global AI wave.
