Recently, foreign media reported that ByteDance is accelerating its efforts to self-develop and manufacture AI chips to reduce dependence on expensive chips from NVIDIA. The report claims that ByteDance plans to collaborate with TSMC and expects to mass-produce two self-developed AI chips by 2026, having already reserved the production of hundreds of thousands of chips. More notably, the report pointed out that ByteDance aims for its self-developed chip clusters to achieve four times the computing performance of a single H100 chip at a similar cost. In response, ByteDance quickly addressed this report.

Recently, the foreign media outlet The Information reported that ByteDance is accelerating the development of its own AI chips and plans to collaborate with TSMC, aiming for mass production by 2026. The report also stated that this move by ByteDance is intended to reduce dependence on NVIDIA chips and lower the costs of developing and operating AI models. Source note: The image is generated by AI and provided by the image licensing service Midjourney, according to reports from the Sci-tech Innovation Board Daily regarding today's media coverage of ByteDance's plans to collaborate with TSMC on AI chips.

Recently, AI chip company Groq, based in California, has reached a partnership agreement with Saudi Arabia's oil giant Aramco to establish a large data center in Saudi Arabia. The aim of this data center is to enhance Saudi Arabia's capabilities in the field of artificial intelligence and further promote the diversification of the country's economy. Groq's CEO, Jonathan Ross, stated that the data center is expected to be operational by the end of the year, initially equipped with 19,000 Language Processing Units (LPUs). Image source note: Picture

Recently, at the launch event for the new EX90 electric SUV, Volvo announced its continued collaboration with NVIDIA, stating that future models will be equipped with NVIDIA's chips. The EX90 is Volvo's first software-defined vehicle, featuring the NVIDIA Orin system-on-chip, which boasts computation capabilities exceeding 250 trillion operations per second. This SUV's core computing architecture not only supports deep learning functions but also provides robust support for its AI-driven active safety and driving assistance systems. Furthermore, Volvo plans for future enhancements.

The generative AI market is developing rapidly, with projections estimating it will reach $40 billion by 2024 and soar to $1.5 trillion by 2030, achieving an impressive annual growth rate of 83%. Its applications are vast, spanning text, images, and music. As AI technology shifts towards edge computing, the share of AI-related software and services is expected to significantly increase over the next five years, projected to account for 32% and 55% of the market by 2030, becoming a crucial driver of market expansion.

Nvidia is facing an antitrust investigation by the U.S. Department of Justice, focusing on its dominant market position in the artificial intelligence sector and whether it has taken measures to stifle competition, including penalizing suppliers that do not use its AI chips. This news has led to a significant drop in Nvidia's stock price, resulting in a market value loss of $279 billion. Although the overall trend of stock prices remains an upward trajectory, the AI boom has driven high sales of its expensive chips. Nvidia's recently launched Blackwell series AI chips are facing delayed market release due to design flaws, intensifying competition with rivals.

Nvidia CEO Jensen Huang emphasized in an interview with the Financial Times that despite encountering issues in the production of the next-generation AI processors, the company remains committed to its plan of launching a new flagship product every year. Although the release of the Blackwell chip has been delayed, Nvidia engineers are accelerating the development of the next two generations of chips. The production issues are mainly related to adjustments in the 'mask' process during chip design, and these changes have been completed without affecting product functionality. Nvidia is leveraging AI to enhance data processing and product design efficiency in response to investors' concerns about growth rates and profit margins.

LG will showcase its first smart home hub ThinQ ON at the IFA 2024 technology fair. This hub integrates artificial intelligence technology, allowing it to connect and control LG appliances and third-party devices, supporting Thread, Matter, and Wi-Fi. The ThinQ ON features a compact and rounded design, doubling as a smart speaker with an integrated LG AI voice assistant that can understand natural language, interpret context, and learn user preferences to provide a personalized experience. The device is powered by a self-developed AI chipset and supports Matter certification.

Nvidia's latest earnings report shows revenue reaching $30.4 billion, a 122% increase compared to the same period last year, exceeding analysts' expectations. Data center revenue grew by 154%, reaching $26.3 billion, becoming a focal point. Nvidia expects to set a new record for shipments next year, with founder and CEO Jensen Huang mentioning that the company's development is closely tied to the increasing complexity of AI models, aiming to drive an industrial revolution by reducing costs and expanding AI model scales. The significant growth in data center revenue reflects strong demand for AI.

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.

AMD has acquired AI infrastructure company ZT Systems for $4.9 billion, aiming to accelerate the market adoption of its Instinct data center chips. ZT Systems, a partner of Microsoft, Meta, and Amazon, provides customized computing infrastructure, making this acquisition a significant strategic move for AMD. Through this deal, AMD not only gains approximately 1,000 engineers but also accelerates the deployment of AI solutions, with plans to launch the new MI350 chip in 2025 to compete with Nvidia.

SoftBank is in discussions with Intel to collaborate in order to challenge Nvidia's market dominance in the AI chip sector. As a globally recognized investment company, SoftBank is increasingly interested in the AI chip market and seeks to partner with traditional chip manufacturer Intel to enhance its market position. Intel's transformation strategy and AI chip development make it an ideal partner. The potential synergies from this collaboration are attracting attention, and market analysts believe it will have a profound impact on the AI chip industry. With the rapid advancements in artificial intelligence technology, AI chips are crucial for applications like autonomous driving.

Startup Groq has successfully raised $640 million, achieving a valuation of $2.8 billion, with Blackstone Group as the lead investor. This move signals a potential shift in the AI hardware market landscape. Groq focuses on developing specialized chips to accelerate AI workloads, particularly in the language processing domain, with its flagship product, the Language Processing Unit (LPU), capable of running large language models with unprecedented speed and efficiency. As AI demand surges, Groq aims to become a strong competitor in the market, focusing on inference to provide more efficient and cost-effective AI hardware solutions.

Samsung Electronics has started mass production of the industry's thinnest low-power Dynamic Random Access Memory (DRAM) chips to meet the growing demand for artificial intelligence (AI) in mobile devices. The newly launched 12-nanometer, 12GB, and 16GB LPDDR5X DRAM chips are only as thick as a fingernail, achieved through Samsung's expertise in chip packaging technology. This design not only provides more space for mobile devices but also improves airflow and optimizes thermal management. In terms of performance, Samsung's LPDDR5X DRAM chips deliver.

In the semiconductor industry, AMD recently announced a significant development: Victor Peng, the company's president, will retire next month. As a pivotal figure in AMD's AI strategy, Peng's departure is sure to garner widespread attention within the industry.Since joining AMD in 2022, Victor Peng has been instrumental in driving the company's growth. Prior to AMD, he served as the president and CEO of Xilinx, a programmable chip design company, leading it for four years. Earlier, he had also w

According to a report by The Information, leading artificial intelligence company OpenAI is actively exploring the development of its own AI chips. This move not only demonstrates OpenAI's ambition in technological innovation but also reflects the current pressure on chip supply in the AI industry. The report reveals that OpenAI has engaged in talks with chip manufacturing giant Broadcom to discuss plans for developing new AI chips. This development indicates that OpenAI is seriously considering

Recently, as reported by The Information, the prominent generative AI application giant OpenAI is in talks with several chip design companies, including Broadcom. The focus of these discussions is the development of new AI chips. OpenAI is exploring the possibility of manufacturing its own AI chips, a move that could not only achieve efficient integration of software and hardware but also alleviate the current shortage of AI chips.Image source note: Image generated by AI, licensed service provid

The U.S. Department of Commerce has just announced a significant $4 billion investment aimed at supporting domestic semiconductor wafer production and advancing American technology. This investment is part of the CHIPS Act, intended to boost domestic semiconductor wafer production and enhance the U.S. technological prowess. The fortunate recipient this time is GlobalWafers, which has reached a preliminary non-binding memorandum of understanding (PMT) with the Commerce Department, securing this s