Recently, AMD launched its latest Strix Point APU series, highlighting its exceptional performance in AI large language model (LLM) applications, far surpassing Intel's Lunar Lake series processors. With the growing demand for AI workloads, the competition in hardware is becoming increasingly fierce. To address the market, AMD has introduced AI processors designed for mobile platforms, aiming for higher performance with lower latency. AMD stated that the Strix Point series of Ryzen

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.

Corning Inc. recently released its Q3 earnings report. The report shows that Corning performed exceptionally well in Q3 2024, primarily driven by increased market demand for optical fiber connectivity products, which are particularly suitable for generative AI applications. In the earnings report, Corning's core sales reached $3.73 billion, an 8% increase compared to last year. Meanwhile, the company’s earnings per share (EPS) rose by 20% to $0.54. This growth is a result of their commitment to innovation and technology.

Recently, Google’s parent company Alphabet released its financial report for the third quarter of fiscal year 2024, and the results are encouraging. The company’s total revenue reached $88.3 billion, a 15% year-over-year increase. Among this, revenue from Google services amounted to $76.5 billion, a growth of 13%; while Google Cloud's revenue surged by 35%, reaching $11.4 billion. In this financial report, the contribution of artificial intelligence is particularly notable, with Google CEO Sundar Pichai stating that the company’s commitment to innovation and long-term investment in AI is continuously benefiting the company.

AMD has officially announced that their next generation X3D desktop processors will be based on the latest Zen5 architecture and will be officially launched on November 7. While AMD has only disclosed the release date, specific pricing or detailed information has not been provided, leaving much anticipation. According to some leaked information, we can expect the 9800X3D to be the first next-generation X3D processor launched on November 7. This processor is expected to feature eight cores, with a base clock frequency of 4.7GHz, and the boost clock frequency may reach...

On October 22, 2024, Qualcomm unveiled its new flagship mobile platform, the Snapdragon 8 Gen 2, at the Snapdragon Technology Summit. This chip is manufactured using TSMC's second-generation 3nm process and features Qualcomm's self-developed Oryon CPU architecture, achieving a dual enhancement in performance and energy efficiency. The Snapdragon 8 Gen 2 is Qualcomm's first mobile platform to adopt an all-large core design, eliminating the previous mix of big and little cores. The CPU consists of two super cores with a frequency of up to 4.32GHz and six cores running at 3.53GHz.

In today's rapidly advancing era of artificial intelligence (AI), major enterprises are working tirelessly to apply AI technology in production environments in hopes of achieving higher returns on investment. However, despite the availability of various advanced AI models in the market, teams still face numerous challenges during deployment. According to Peter Bendor-Samuel, the CEO of Everest Group, 90% of generative AI pilot projects will struggle to enter the production phase. Additionally, Gartner predicts that by 20

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.

Recently, the competition between AMD and NVIDIA, two major chip giants, has intensified. However, unexpectedly, they have quietly embarked on a collaboration. AMD's EPYC processors are providing strong support for NVIDIA's GPUs in large-scale AI workloads. Image source note: Image generated by AI, image authorized by service provider Midjourney. As the complexity of AI models continues to increase, the performance demands on GPUs and CPUs have also risen sharply.

Recently, NVIDIA's latest generation Blackwell GPU has sparked unprecedented demand, with CEO Jensen Huang revealing in an investor meeting that the supply for the next 12 months is completely sold out. This phenomenon is similar to the explosive demand for the Hopper GPU a few months ago, indicating a strong market desire for high-performance computing. This surge in sales is primarily driven by traditional clients, including AWS, Google, Meta, Microsoft, Oracle, and CoreWeave.

Recently, Zyphra officially launched Zamba2-7B, a small language model with unprecedented performance, featuring 7B parameters. This model claims to surpass its current competitors in quality and speed, including Mistral-7B, Google's Gemma-7B, and Meta's Llama3-8B. The design goal of Zamba2-7B is to meet the needs of environments that require strong language processing capabilities but are constrained by hardware conditions, such as processing or using it on devices.

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.

Recently, Foxconn (Hon Hai) and Nvidia announced an exciting collaboration plan to build a massive supercomputer. This computer will use Nvidia's latest Blackwell chip architecture and is named the 'Hon Hai Kaohsiung Supercomputing Center'. This project was officially unveiled during the recently concluded Foxconn Technology Day event. Image credits: The image is generated by AI, and the image is licensed by service provider Midjourney. The scale of this supercomputer is enormous.