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.

Amid the rapid development of artificial intelligence technology, Intel's Gaudi AI accelerator faces significant challenges. Recently, Intel CEO Pat Gelsinger stated during the company's Q3 2024 earnings call that Intel's anticipated $500 million revenue target for Gaudi will not be met. He admitted, "We will not be able to achieve the $500 million revenue target for 2024." Despite the recent launch of the new Gaudi3 accelerator, Gelsinger pointed out that Gaudi products...

This week, Apple unveiled its latest M4 series chips at a launch event, marking a strong performance in the personal computer market. Apple claims that devices equipped with M4Pro and M4Max significantly surpass competing AI PC chips, particularly in handling artificial intelligence tasks. The M4Pro chip offers up to 14 CPU cores, including 10 high-performance cores and 4 efficient cores, along with 20 GPU cores. Apple stated that the M4Pro excels in AI computing.

OpenAI officially announces its entry into the AI chip sector through collaboration with chip giant Broadcom, planning to develop its first custom AI inference chip. This strategic move not only marks a significant step towards supply chain autonomy for OpenAI but also targets NVIDIA's current dominance in the AI chip market. According to Reuters, OpenAI has assembled a specialized R&D team of about 20 members, including the chief engineer who participated in the development of Google's Tensor processors. The project will be led by Broadcom for chip design and TSMC for manufacturing.

Recently, Apple announced the release of the M4 Pro and M4 Max chips, which will significantly enhance the performance and advanced features of Mac computers alongside the M4 chip. All three chips are manufactured using the industry-leading second-generation 3-nanometer process, optimizing both performance and energy efficiency. The central processors of the M4 series chips feature high-speed cores, achieving industry-leading single-threaded performance and significantly improving multi-threaded performance.

Nvidia has recently engaged in a series of collaborations with local businesses in India to promote its artificial intelligence chips and technologies. The CEO of the American chip design company, Jensen Huang, announced at an AI summit in Mumbai that Nvidia has partnered with one of India's most valuable companies, Reliance Industries, to co-establish the infrastructure for AI applications. Additionally, tech company Tech Mahindra will use Nvidia's chips and software to develop a Hindi AI model called "Indus2.0."

Against the backdrop of rising global chip demand, semiconductor manufacturing company TSMC announced its financial results for the third quarter of 2024, which were impressive. The company reported a net profit of NT$352.3 billion (approximately $10.1 billion), an increase of 54% compared to the same period last year. This achievement surpassed market analysts' expectations, with Reuters previously estimating a net profit of NT$300.2 billion. Image source: The image was generated by AI, provided by the image licensing service Midjourney. TSMC is a global leader in advanced chips.

This Monday, chip manufacturing giant Nvidia once again set a new historical high in the stock market, closing at $138.07 per share. This increase has investors eagerly anticipating as major companies like Microsoft, Meta, Google, and Amazon are about to release their earnings reports, creating excitement over their investments in AI infrastructure. Year-to-date, Nvidia's stock price has surged nearly 180%, leaving many in astonishment. Even more surprising is Nvidia's dominance in the AI chip market.

Recently, Lidwave announced the successful acquisition of $10 million in funding aimed at enhancing machine vision capabilities, particularly in key applications such as pedestrian detection in busy environments. Lidwave's CEO Yehuda Vidal stated in an interview that their innovative 4D LiDAR technology integrates complex Lidar sensors into a single chip, marking not only a technological revolution but also helping to reduce costs and expand the market. Note: Image from Lidwave's official website. This round of funding was backed by Jump.

Recently, TSMC announced that it expects a significant profit increase of 40% in its upcoming Q3 earnings report. This surge is primarily attributed to the booming demand for artificial intelligence (AI) chips. As the world's largest contract chip manufacturer, TSMC's clients include renowned companies such as Apple and Nvidia, which are actively advancing AI technology. According to LSEG's smart estimate, analysts predict that TSMC's net profit for the third quarter ending September 30 will reach NT$298.2 billion (approximately US$9.27 billion).

In the fiercely competitive artificial intelligence hardware market, AMD has introduced its brand new MI325x AI chip, aiming to challenge Nvidia's latest Blackwell series chips for dominance. This new chip represents another significant move by AMD in the field of artificial intelligence computing, striving to expand its share in this lucrative market. The MI325x AI chip is designed to directly compete with Nvidia's Blackwell GPUs, which are widely regarded as the leaders in AI.

At an event in San Francisco, AMD CEO Lisa Su launched a new line of AI-integrated chips across the Ryzen, Instinct, and Epyc brands, energizing the next generation of AI computing for everyone from business users to data centers. During the event, AMD indirectly mentioned competitors like Nvidia and Intel, emphasizing its commitment to providing open and accessible technology, aiming to avoid locking customers into proprietary solutions. Su stated that AI will enhance our personal productivity, with features like real-time translation improving collaboration.

Recently, the Google Quantum AI team made remarkable progress, showing that current Noisy Intermediate-Scale Quantum (NISQ) computers can complete benchmark calculations that would take classical computers years to process. This research was published in the journal Nature and utilized the random circuit sampling benchmark, which is one of the most challenging tasks currently executable by quantum computers. Image credit: This image was generated by AI, courtesy of image licensing provider Midjourney. This finding indicates that although quantum computers still have limitations.

MediaTek today officially launched its next-generation flagship chip, the Dimensity 9400, which is the first flagship chip in the Android camp to adopt a 3nm process, crafted using TSMC's second-generation 3nm process technology. The Dimensity 9400 achieves a significant leap in performance with an upgraded second-generation all-large-core architecture, comprising one 3.62GHz Cortex-X925 super core, three Cortex-X4 super cores, and four Cortex-A720 large cores, resulting in a 35% improvement in single-core performance and a 28% improvement in multi-core performance.

Hisense has announced an exciting new product - the E7N Ultra Picture Quality Mini LED TV. This TV not only excels in configuration and picture quality but also claims to surpass flagship products on the market. The E7N is equipped with Hisense's self-developed Mini LED backlight control chip, with each chip accurately controlling 8 light sources, achieving an ultra-high standard of 4224 zones, with a brightness reaching 4000 nits! This design makes the E7N stand out among similar products, with real-time precise backlight control.