New Cape Xingpu Big Model: Intelligent reasoning and low computing power consumption

At a recent institutional telephone exchange meeting, Xinkaipu Company revealed the latest evaluation results of its self-developed Xingpu model. This model adopts SFT (supervised fine-tuning) and RL (reinforcement learning) training technology, which is similar to DeepSeek-R1 in terms of intelligent inference effect, and its computing power consumption is only 1/20 of that of DeepSeek-R1. This achievement not only demonstrates Xinkaipu's R&D capabilities in the field of artificial intelligence, but also provides the possibility to reduce hardware investment.

The success of Xingpu's big model is not only reflected in the improvement of its intelligent reasoning capabilities, but also in its efficient computing power consumption. This progress means that when companies deploy such models, the hardware investment required is greatly reduced, and the saved computing budget can be used for software development and the expansion of intelligent applications. Xinkaipu said that it will participate in industry evaluations in the future to obtain more authoritative data support, further proving the market competitiveness of the StarP big model.

At the same time, the industry's demand for computing power continues to rise, and companies often face high hardware investment when seeking more efficient solutions. This achievement of the new Cape is at the right time and provides new options for many companies. On the premise of ensuring user experience and service accuracy, reducing computing power and hardware investment will help improve overall operational efficiency and economic benefits.

Overall, the test results of the new Cape Xingpu big model will bring more innovation and competition to the industry and help companies achieve greater breakthroughs in the process of digital transformation. With the continuous advancement and maturity of technology, the application of AI models will become more and more extensive in the future, promoting the intelligent development of all walks of life.