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The Chengdu Municipal Bureau of Economy and Information Technology recently held a media briefing to release the "2025 Chengdu Artificial Intelligence Industry Chain Development Work Points." The plan outlines Chengdu's commitment to fostering the development of the AI and robotics industry, aiming for a core industry scale of 130 billion yuan by 2025, with an annual growth rate exceeding 30%. This initiative seeks to establish Chengdu as a leading national hub for AI and robotics. To achieve this goal, Chengdu will focus on the three elements of AI: computing power, algorithms, and data. Firstly, in terms of computing power...

Recently, iFlytek revealed in an institutional survey that the purely domestic computing power platform 'Xinghuo X1' is soon to launch a new version, expected to be completed within the next three months. This new version is highly anticipated, as iFlytek indicated that the platform will possess stronger mathematical problem-solving abilities and complex reasoning capabilities, striving to match and even surpass OpenAI's technology in these areas. The new version of 'Xinghuo X1' is an important attempt by iFlytek in the domestic computing power platform, marking China's advancements in artificial intelligence.

Recently, Chengdu Huayi revealed on its interactive platform that it has successfully developed a specialized AI chip for the edge computing field. This chip boasts an AI computing power of up to 16 Tops and is currently undergoing limited trial use among several clients in specific industries. The new chip not only offers robust computing power but also demonstrates excellent performance in video encoding and decoding, supporting video processing capabilities of up to 8K resolution. This represents a significant technological advancement for applications such as video surveillance and smart homes.

The UK government has recently announced a large-scale investment in the field of artificial intelligence (AI), with plans to increase publicly controlled AI computing power by 20 times by 2030. Prime Minister Keir Starmer stated that this plan to ‘unleash’ AI aims to make the UK a leader in the global AI industry. Despite public concerns about the potential impact of AI, the government believes that this technology could bring up to £470 billion in economic growth. Image source credit: Image generated by AI, image licensed by Midjourney.

In 2025, Suzhou will fully implement the 'Top Ten Actions for Intelligent Manufacturing in Suzhou', which includes AI innovation application actions aimed at promoting the deep integration of AI and the manufacturing industry. This initiative was emphasized at the Suzhou New Industrialization Promotion Conference held on January 3. The conference proposed that Suzhou is committed to building a modern industrial system with world-class competitiveness, fully striving to create a globally leading 'Intelligent Manufacturing City'. According to Suzhou's development plan, it is clear that by 2026, the city aims to establish four trillion-level industries and fifteen super-hundred-billion-level industries, driving growth.

The Beijing Academy of Artificial Intelligence (BAAI) recently announced that it has collaborated with ecological partners to build and open source the Heterogeneous Unified Communication Library FlagCX, aiming to address the challenges faced by communication libraries in the era of diverse computing power and fill the significant gap in the open source software stack for diverse computing power. This initiative responds to the special action organized by relevant national departments for the governance of typical issues in 'Clear and Bright: Algorithmic Problems of Online Platforms', reflecting the important principles of correct algorithm orientation, fairness and justice, and transparency.

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.

In a recent Reddit Q&A, OpenAI CEO Sam Altman admitted that insufficient computing power is one of the main reasons the company is unable to frequently launch new products. He stated that the current AI models are becoming increasingly complex, and OpenAI faces many constraints and difficult decisions on how to allocate computing resources to implement numerous excellent ideas. Reports suggest that OpenAI has encountered difficulties in obtaining sufficient computing infrastructure.

Wenyuan Zhixing officially launched its new generation mass-produced Robotaxi — GXR on October 15. GXR draws on more than 1,800 days of public operation experience in the Robotaxi field, featuring L4 level public road driving capability, and can handle complex scenarios such as morning and evening rush hours, mixed traffic, and high-speed driving at night. The Wenyuan Zhixing GXR is equipped with comprehensive redundancy systems for architecture, F-O line control chassis, computing units, and braking, effectively avoiding single point failures. It also features the new HPC 2.0 high-performance computing platform.

Shen Dou, Executive Vice President of Baidu Group, announced the upgrade of the Baike Computing Platform 4.0 at the 2024 Baidu Cloud Intelligence Conference held today. This new version supports multi-core hybrid training and multi-core adaptation, achieving over 99.5% effective training duration on a ten-thousand-card cluster, significantly improving computing power usage efficiency. In the context of current computing power shortages, the upgrade of Baike 4.0 will help enterprises utilize computing resources more effectively and reduce operational costs. The focus of the upgrade is to enhance the capability of 'multi-core hybrid training', enabling it to achieve 9.

Wuwen Chip Quasar, an AI startup established just over a year ago, recently secured nearly 500 million in Series A financing, bringing its total financing to over 1 billion, making it the king of financing in the AI infrastructure sector. Its shareholders include state-owned assets, local funds, and notable venture capital institutions such as Shunwei Capital and Dacheng Financial Intelligence. One of the founders, Wang Yu, is the head of the Department of Electronics at Tsinghua University, and many team members have Tsinghua backgrounds with rich research experience. In 2016, DeepInsight Technology, incubated by Tsinghua NICS-EFC Laboratory, was acquired by Xilinx for 300 million.

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...