On the eve of the Spring Festival in 2025, China's AI field will usher in a historic turning point - the DeepSeek big model will sweep the global technology community like wildfire.

DeepSeek broke through the technological tipping point on New Year's Eve, not only triggering social media phenomenon level dissemination with its complex reasoning ability close to human thinking level, but also reducing the training cost of large models by 90% with its breakthrough algorithm optimization architecture, completely breaking the industry dilemma of "AI hegemony requires a huge amount of computing power".

A more profound impact is that the industry is beginning to abandon the old paradigm of "brute force computing" and shift towards a smart computing system that combines software and hardware - innovative solutions such as heterogeneous computing architectures based on domestic GPUs, customized inference chips for vertical scenarios, and hybrid intelligent systems combined with quantum computing are gradually emerging.

This intelligent revolution, which began during the Spring Festival in 2025, may be an important watershed in the history of global artificial intelligence development.

As a leader in the safe application of lithium batteries in ICT infrastructure and a leader in new solutions for intelligent computing centers, Mingde Energy can assist industry innovation with its DPS distributed uninterruptible power supply technology. Mingde Yuan has a deeper understanding of the changes brought about by DeepSeek.

Thanks to the MoE architecture, the graphics memory consumption of DeepSeek V3 is only 1/5 of traditional models, significantly reducing computing power consumption. Computing nodes can be deployed on a small scale, increasing or decreasing the number of nodes as needed, avoiding resource waste and better matching business resilience requirements. These features are more suitable for DPS architecture deployment and further enhance the applicability of DPS.

According to experts from Mingde Yuanneng, the current power demand proposed by OpenAI, especially the single cabinet power of Nvidia B200 and B300, has reached the level of 200kW. This is a great challenge for all power supply and backup system architectures in the industry, which can be shaped by "strong heart, but insufficient surplus".

The popularity of DeepSeek has driven the transformation of data centers towards distributed architecture, by using knowledge distillation technology to transfer the capabilities of 670B parameter models to 1.5B small models, making edge device deployment possible. At this point, there is no need to deploy too many graphics cards in a single cabinet, which can provide sufficient space and lower power consumption, reducing the number of cabinets deployed and thus reducing space occupation. ”

Under the above premise, what we need to solve is only the reliability and safety issues of the battery. It has been proven that Mingde Yuanneng's ultimate safety lithium battery products have proven that DPS can be deployed on a large scale in data centers. ”Mingde Yuanneng expert said.

The largest UPS now can reach a power of 4.8MW and support backup power for about 40 cabinets, but its busbar and spatial layout also face great challenges. Compared to UPS, the biggest advantage of DPS is its direct deployment within the cabinet, which provides more flexible and adaptable configurations, and saves space. ”

Mindsec experts stated that recently, multiple cloud platforms such as Alibaba Cloud, Huawei Cloud, Tencent Cloud, and the three major telecom operators have announced the integration of DeepSeek, which may reshape the positioning and purpose of intelligent computing centers. In the future, cloud computing centers and intelligent computing centers can achieve efficient integration, and general-purpose or slightly high-power data centers may usher in a larger scale construction boom, replacing single function intelligent computing centers as the mainstream. DPS will be more perfectly adapted to such data centers. ”

After all, DeepSeek no longer needs to use tens of thousands of cards to build a computing center like before. Perhaps only a few thousand cards are needed, and a small data center can meet the demand.

DeepSeek has optimized algorithms to achieve parallel processing of data across multiple nodes while ensuring efficient gradient synchronization. Multiple servers collaborate to handle the same task or perform tasks separately. Once one server is interrupted, other servers can immediately take over. In this mode, DPS will demonstrate significant advantages, reducing the scope of failures and avoiding widespread downtime and business paralysis.

The success of DeepSeek has had an impact on the high-end computing chip industry chain, reconstructing hardware requirements with the advantage of inference cost. More directly, DeepSeek actively promotes the development of distributed computing power, and for DPS, the advantages will be more obvious.