Shulou(Shulou.com)11/24 Report--

Although this year's big model track is very popular, it is undeniable that this is a track with extremely high threshold, which tests the technical reserves and long-term R & D investment of enterprises. On August 12, Science and Technology University Xunfei (002230.SZ) officially announced the semi-annual report of 2023. In the first half of the year, the company realized operating income of 7.842 billion yuan and net profit of 74 million yuan. Especially in the second quarter, the company achieved operating income of 49.54%, gross profit of 1.938 billion yuan, month-on-month growth of 71.56% and 60.21% respectively.

In addition to the operating cash flow and net profit in the second quarter, there are two data worthy of attention in the semi-annual report of HKUST. First of all, the R & D investment in the first half of the year was 1.656 billion yuan, and Xunfei also explained in the financial report: this is because it increased the R & D investment in the autonomous controllable cognitive large model (spark), which affected the current profit to a certain extent, but laid a solid foundation and first-mover advantage for long-term sustainable development. Secondly, the net cash flow generated from the completion of operating activities in the second quarter of the company was RMB 140 million yuan, an increase of RMB 575 million yuan compared with the same period last year, which significantly improved the anti-risk ability of the enterprise.

In 2023, Xinfeld took Spark Cognitive Model as the key project of the company, and built a R & D team with complete system, first-class technology and efficient coordination. On May 6, Xinfeld Spark was officially released, and relevant commercial application achievements were also released simultaneously; on June 9, Xinfeld released Spark V1.5 realized open-ended Q & A breakthrough, multi-round dialogue and mathematical ability upgrading and upgrading, and showed mature characteristics and rapid iteration ability. Xinfeld also allows the general public to quickly experience the digital life brought by the big model through the Spark Assistant Center, Spark APP and Spark Language Companion App. During the period of 618, the GMV of Xinfeld C-end hardware with spark support reached an all-time high, with a year-on-year growth of "multiple level." The GMV of Xinfeld AI learning machine alone rose by 136% and 217% year-on-year in May and June, fully demonstrating the huge commercial value-added potential after the large model is enabled.

Just as the so-called "everyone ten firewood flame high," the spark with higher perfection degree and stronger enabling mechanism also attracts a large number of developers to participate in ecological co-construction, forming flywheel effect. According to the semi-annual report, the number of developers of Xinfeld Open Platform increased by 850,000 in two months with the release of the Spark Model on May 6 as a "watershed." As of June 30,2023, the number of developers on Xinfeld Open Platform increased to 4.974 million, an increase of 45% compared with the same period last year. The semi-annual report also emphasized that "Xunfei Spark is in the forefront of technology in the research and development of domestic cognitive large models, and has taken the lead in realizing in-depth application in education, medical treatment, automobile, office, industry, intelligent hardware and other industries."

In order to further consolidate the head position of the Spark model, HKUST Xinfeld will hold a Spark V2.0 upgrade conference on August 15. The Xunfei Spark has launched the slogan of "liberating productivity and releasing imagination." It is expected that it will iterate in code capability, multi-modal capability and other dimensions, and at the same time, Xunfei will release a number of related products simultaneously. According to Liu Qingfeng, Chairman of HKUST Xinfeld, disclosed at the AI Big Model Capital Industry Summit on August 11, Xinfeld will jointly launch Spark All-in-One Machine with Huawei to provide convenient, independent, safe and controllable privatization deployment capacity for enterprises.

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