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Does XGD (SZSE:300130) Have A Healthy Balance Sheet?
XGD INC.: Summary of Half-Year Report in 2024.
XGD INC.: Half-year report for the year 2024.
XGD Inc. (300130.SZ): Payment hardware products can support digital renminbi acceptance function.
On August 14th, Gelonhui reported that XGD Inc. (300130.SZ) stated on its investor interaction platform that the company is not currently engaged in cross-border digital RMB business. The company's payment hardware products can support the acceptance of digital RMB and have completed the design and technical development of the digital RMB hardware wallet product. The company has always been concerned about the drive and changes that new technologies and trends bring to the industry, actively participating in the upgrade of technology and applications and related business opportunities, and continuing to pay attention to market dynamics. The promotion time and cooperation details need to be determined according to market conditions and industry policies, and specific situations should be followed up with regular reports or announcements.
XGD Inc. (300130.SZ) has payment equipment products specifically designed for highway scenarios.
On August 14th, XGD Inc. (300130.SZ) stated on the investor interaction platform that the company does not have any ETC-related business. The company has payment equipment products for highways, mainly used in manual toll lanes rather than ETC lanes.
XGD Inc. (300130.SZ): The company's AI-related products use a combination of self-developed models and third-party open-source models.
On August 12th, Gelunhui reported that XGD Inc. (300130.SZ) stated on the investor platform that the company's AI-related products use a combination of self-developed models and third-party open-source large-scale models. This approach aims to combine the flexibility and pertinence of self-developed models with the wide application and advanced features of third-party open-source large-scale models to meet the specific needs of different customers and different application scenarios. The relevant computing power data of the company's current AI products will be configured according to customer needs to meet the data processing and model training needs required for the products provided to customers. Self-developed models do not refer to those with extremely high parameter numbers.
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