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.

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.

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

AI chip startup Etched.ai has recently secured $120 million in funding to develop transformer-specific AI chips designed for training and deploying large language models.

Abu Dhabi is considering supporting OpenAI's chip project MGX and discussed with OpenAI CEO Sam Altman the reduction of reliance on Nvidia GPUs. OpenAI seeks funding support for its chip development plan, and the Abu Dhabi investment company is contemplating backing OpenAI's chip project.

Meta is expected to release the open-source AI model Llama 3 in July this year. South Korean President Yoon Suk-yeol and Meta CEO Mark Zuckerberg held talks. Zuckerberg visited Samsung and LG Electronics for collaboration discussions. In Japan, he met with Prime Minister Fumio Kishida to discuss AI risks.

The Japan government-supported semiconductor research group collaborates with the U.S. startup Tenstorrent Inc. to design AI chips. Tenstorrent is working with the Japanese government to design AI chips based on the open-source RISC-V standard. The Japanese government is investing $67 billion to reclaim core status in the semiconductor industry. Tenstorrent collaborates with the government-supported startup Rapidus Corp. to produce the AI chips. Jim Keller is a Silicon Valley legend who has worked at Apple.

NVIDIA released its most impressive earnings report ever, with its market value soaring by $277 billion in a single day. Jensen Huang received high praise from Wall Street for being more visionary than Musk. NVIDIA has become the leader in AI stocks, with its rapid market value growth being astonishing. For NVIDIA, the current challenge is how to meet the immense demand and maintain its market leadership.

SoftBank Group's stock price climbed due to Masayoshi Son's plan to establish a $10 billion AI chip company. Son will invest $30 billion, with plans to name the company Izanagi, competing in the global semiconductor market. This initiative could surpass Microsoft's investment in OpenAI, and Son has high hopes for the future of artificial intelligence. SoftBank's stock rose by 30%, as Son sees immense opportunities in the AI sector.

Social media giant Meta plans to deploy a custom second-generation AI chip, codenamed Artemis, in its data centers this year. The new chip will be used for running AI model 'inference' and aims to reduce dependency on chips and control the costs of AI workloads. Meta CEO Mark Zuckerberg announced plans to use 340,000 Nvidia H100 GPUs, totaling around 600,000 GPUs, for running and training AI systems. Meta hopes to lower its dependence on Nvidia chips through the deployment of its own AI chips.