A technological revolution about domestic computing power is quietly taking place within the retail giant Suning.com. When overseas AI chip supply chains have frequently encountered obstacles, and reliance on computing power has become a sword of Damocles hanging over Chinese tech companies, Suning.com has provided an almost perfect answer—letting domestic computing power and self-developed large models collide to create a stunning spark.
The Lingsi large model under Suning.com has just completed a significant technical upgrade. The behind-the-scenes hero of this upgrade is the domestic Cambricon computing platform. This is not just a simple technical iteration, but more like a strategic move toward computing power autonomy and control, setting a new benchmark for the industry's domesticization process.
The technical specifications of the Lingsi large model are truly impressive, with its parameter matrix ranging from 3B to 700B, covering all configurations from lightweight to ultra-large scale. More excitingly, by integrating multi-modal capabilities, this large model has achieved a significant 30% improvement in reasoning efficiency. This means that whether it's data processing or task execution, the model can complete work with faster response times and better results.
However, what truly shocked the industry was the breakthrough in cost control. Through deep collaboration with the Cambricon computing platform, the training cost of the Lingsi large model has actually dropped by 70%. This number contains huge commercial value—it clears the cost barriers for enterprises to make large-scale investments in artificial intelligence, allowing more companies to afford the application of AI technology.
From the laboratory to real-world applications, the Lingsi large model has taken root in 12 core scenarios such as logistics supply chain and retail marketing. The success of these application scenarios not only verifies the practicality of the model but also demonstrates the enormous transformation potential of AI technology in traditional retail. By deeply integrating intelligent methods, Suning.com is redefining consumers' shopping experiences and driving the entire retail industry towards intelligent transformation.
To push this intelligent revolution to a deeper level, Suning.com also launched the LinxAgent multi-agent platform. The ambition of this platform is considerable—it aims to build a toolchain covering the entire process, with the goal of helping enterprises achieve a complete transformation into "intelligent-native retail." Through the collaborative work of multiple agents, each business process can operate efficiently, forming an organic intelligent ecosystem.
Suning.com's series of actions clearly signal one thing: in today's increasingly fierce global AI competition, it is entirely possible to achieve technological self-reliance through domestic computing platforms, and even surpass in certain dimensions. The successful integration of the Lingsi large model and the Cambricon computing platform not only provides strong momentum for Suning.com's digital transformation, but also explores a feasible path for the development of China's AI industry.
In this era where technological iterations are as fast as light, Suning.com has proven through action a simple truth: true technological competitiveness does not lie in chasing the latest concepts, but in how to deeply integrate AI technology with specific business scenarios to create tangible commercial value. With the continuous investment and large-scale application of more intelligent technologies, China's retail industry is experiencing an unprecedented opportunity for intelligent upgrading, and Suning.com has clearly seized the leading position in this race.
