Intel has unveiled its first Lunar Lake mobile processor at the IFA conference, achieving Microsoft's Copilot+ performance targets. This chip offers up to 120 TOPS of AI computing power, significantly improving performance by 14% for core clock instructions and 68% for efficiency core performance, with graphics processing performance up about 50% compared to the previous generation. Compared to AMD, Lunar Lake performs similarly in graphics-intensive tasks like gaming but with approximately 30% lower power consumption. In terms of performance, it outperforms Qualcomm.

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...

The upcoming iPhone 17 series from Apple is expected to feature 12GB RAM to meet the memory demands of future AI large models. The current iPhone 15 Pro and iPhone 16 series with 8GB RAM are insufficient for supporting large models with around 7 billion parameters. A model with 13 billion parameters requires at least 5GB of memory, and after the operating system and applications take up space, 8GB RAM fails to provide enough room. The 12GB RAM configuration could offer ample space for larger AI models.

Domestic AI chip design company Suiyuan Technology has initiated the counseling process for its A-share listing, officially starting its IPO. Established in 2018, Suiyuan Technology focuses on the development of cloud computing products in the AI field, including AI acceleration cards, intelligent computing clusters, and related software and platforms. The company's founders, Zhao Lidong and Zhang Yalin, both possess strong technical backgrounds. One year after its establishment, Suiyuan Technology launched its first-generation AI training chip, SuiSi 1.0, and has now developed to the second generation, SuiSi 2.0, while also developing multiple AI inference chips. In just six years, the company has completed ten rounds of financing, totaling nearly 7 billion RMB.

Huawei has launched the 'AI Hundred Schools Program' aimed at supporting domestic universities in AI research and innovation by providing AI computing resources through Ascend Cloud Services. This initiative seeks to eliminate computing power bottlenecks and promote scientific research and talent development. The program is targeted at university teams with significant research achievements or far-reaching influence, covering a wide range of areas including AI operators, algorithms, model inference, and large model training. Applicant teams are required to submit project details, and Huawei will comprehensively evaluate project goals, value, innovation, and impact on the industry and ecosystem. Approved projects can receive between 50,000 to 1 million annually.

NAVIAI 2.0, independently developed by the Zhejiang Humanoid Robot Innovation Center, is a humanoid robot that stands 1.65 meters tall, weighs 60 kilograms, boasts 41 degrees of freedom, and has an AI computing power of 275 Tops. It showcases exceptional performance and a highly anthropomorphic design, with the ability to execute smooth and natural movements. It can perform complex tasks such as giving speeches, making tea, and playing chess, demonstrating a very high level of anthropomorphic motion mapping execution ability. At the exhibition, it not only served as the host but also displayed its ability to quickly learn new movements and perform high-precision tasks in industrial settings.

Ampere Inc. has announced a significant update to its product roadmap with the launch of its flagship processor, Aurora, designed for AI acceleration and high bandwidth memory integration, aiming to greatly enhance cloud-native AI computing performance. Aurora features 512 Ampere cores, offering more than three times the performance of existing processors, specifically engineered for AI training and inference workloads, demonstrating Ampere's ambitions in the AI computing space. Aurora utilizes scalable AmpereOn technology.

NVIDIA's fourth quarter revenue and profit surged beyond analyst expectations, marking three consecutive quarters of record-breaking performance. Companies, industries, and nations worldwide are experiencing a surge in AI demand. The scale of data center infrastructure is expected to double within five years.

Samsung is ramping up its efforts to develop higher-density storage chips to meet the surge in AI computing demands. The company is committed to researching new materials to突破 chip performance and manufacturing limits. Samsung is increasing the production of HBM (High Bandwidth Memory) chips to cope with the AI computing demand. The company focuses on custom HBM memory chips to meet various customer AI computing needs. Samsung will continue to optimize and enhance its storage chip product matrix to support long-cycle AI chip deliveries.

1. MediaTek collaborates with OPPO to build a lightweight large model edge-side deployment solution. 2. Based on AndesGPT, uses 4-bit quantization technology for edge-side large model performance optimization. 3. The new round of public testing for XiaoBu Assistant is launched, built on AndesGPT. 4. AndesGPT is OPPO's self-trained generative large language model. 5. AndesGPT will continue to enhance the AI capabilities of OPPO's XiaoBu for more product implementations.