Hon Hai: The cloud network products in the second quarter will maintain a growth trend, but it is still the traditional off-season, and the main products are entering a phase of transition between old and new products.

On June 10th, Jin Shi Data reported that after 18 hours, the liquefied natural gas (LNG) bunkering vessel 'Hai Gang Wei Lai' successfully completed the ship-to-ship bunkering operation of approximately 5,300 cubic meters of LNG for the vessel 'Mount Aconcagua' in the sea. This means that the first dual-fuel powered bulk carrier LNG bunkering operation in Shanghai Port has been successfully completed. So far, the Green Huashan South Anchorage in Shanghai Port has completed 13 LNG fuel bunkering operations with a total bunkering volume exceeding 45,955 cubic meters.

On June 4th, Jinshi Data announced that Hon Hai will announce at Computex 2024 that it will join hands with NVIDIA to build an advanced computing power center in Kaohsiung, Taiwan, with the super chip GB200 server as the core. A total of 64 cabinets and 4608 GPUs are expected to be completed in 2026. The two parties will also continue to deepen cooperation in AI, electric vehicles, smart factories, robots, smart cities and other fields.

According to a report by 36Kr, recently, iAnalytics and JD Cloud jointly released the "Advanced AI Retention Report in the Financial Industry". The report makes an in-depth analysis of the storage power needs of financial institutions, and proposes that building a usable, credible and controllable advanced storage capacity is a must for the financial industry to implement the large model. It is reported that JD Cloud started R&D in 2012, and JD Cloud Cloud Cloud Hai based on the new generation of storage architecture was officially released in 2022. At present, JD Cloud Yunhai Distributed Storage has served the construction of large-scale computing power infrastructure of several commercial banks and securities companies.

According to IT House reported on October 20, Stanford University recently released the AI basic model "transparency indicator", of which the highest indicator is Meta's Lama 2, but the relevant "transparency" is only 54%, so researchers believe that almost all AI models on the market "lack transparency". It is reported that the research was led by Rishi Bommasani, head of the HAI Basic Model Research Center (CRFM), and investigated the 10 most popular basic models overseas. Rishi Bommasani believes that "lack of transparency" has always been a problem faced by the AI industry, and in terms of specific model "transparency indicators", IT House found that the relevant evaluation content mainly revolves around "model training dataset copyright", "computing resources used to train the model", "credibility of the content generated by the model", "the ability of the model itself", "the risk of the model being induced to generate harmful content", "the privacy of users using the model", etc., a total of 100 items. The final survey showed that Meta's Lama 2 topped with 54% transparency, while OpenAI's GPT-4 transparency was only 48%, and Google's PaLM 2 ranked fifth with 40%.

According to a report by the webmaster's home on October 16, Hon Hai Precision Industry Co., Ltd. (Hon Hai Precision) said in a statement a few days ago that as part of Hon Hai's "3+3" transformation plan, Hon Hai Precision Research Institute launched the ion trap quantum computing laboratory yesterday. The lab focuses on providing the efficient computing power needed for a new generation of AI and automotive-related technologies. It is reported that the "3+3" plan refers to the development of three emerging fields - electric vehicles, robotics and digital health - through the use of artificial intelligence, semiconductors and communication technologies.

According to a report from the "Science and Technology Innovation Board Daily" on August 14, Hon Hai lowered its operating target for this year, from the original goal of maintaining the same level as last year, to a slight decline. Liu Yangwei, chairman of Hon Hai, pointed out that the second half of the year will enter the traditional peak season, and the strength of market recovery remains to be seen. The recovery of the personal computer industry is slow, and it is expected to start to recover in the second half of the year. However, artificial intelligence (AI) servers can still grow strongly, and demand from cloud service providers can still grow, but other types of products in the cloud have not seen any improvement.

Jinse Finance reported that the digital renminbi app has released an update on May 30 and added a "boarding code" function in the "Service" column. Currently, it supports the opening of "Hangzhou City and Shaoxing City", specifically supporting Hangzhou Metro and Shaoxing City. Subway, Hangzhou-Hai Intercity. It is reported that this is the first time that the digital renminbi App has updated the "traffic travel" service, and it is also the first time that it has officially realized the application of traffic travel scenarios nationwide.

According to Jinshi’s report on May 23, the official website of Hon Hai Technology Group announced that the Artificial Intelligence Research Institute of its subsidiary Hon Hai Research Institute and the City University of Hong Kong jointly launched a new generation of deep learning model “QCNet” for trajectory prediction of autonomous driving for the first time. According to reports, QCNet can capture multiple potential intentions of vehicles in complex road environments, predict the trajectory of motion within 6 to 8 seconds in the future over a long distance, and accurately predict multiple targets in the scene at the same time, and can encode The computing efficiency of the processor is increased by more than 85%.