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Qualcomm Aims to Challenge Nvidia with 2026 AI Chip Launch

류근웅 기자· 10/28/2025, 12:51:09 AM|
Qualcomm Aims to Challenge Nvidia with 2026 AI Chip Launch

Qualcomm Announces Next-Gen AI Chip, Setting Stage for Nvidia Rivalry

Qualcomm has unveiled its plans to launch a next-generation artificial intelligence (AI) accelerator chip targeting the data center market, setting the stage for a head-to-head competition with Nvidia. On October 27, 2025 (local time), Qualcomm officially announced the upcoming releases of its new AI chips, dubbed AI200 and AI250, slated for 2026 and 2027 respectively. This announcement is seen as a bold move by Qualcomm to challenge Nvidia's dominant position in the AI semiconductor market, drawing significant attention from the industry. While Qualcomm has traditionally held a strong position in the mobile AP (application processor) market, the increasing importance of AI technology has prompted the company to expand its business into the data center sector. The planned AI chip launch demonstrates Qualcomm's commitment to becoming a leading player in the AI field. Data centers, with their need to process and analyze massive amounts of data, have a high demand for high-performance AI chips. Qualcomm aims to meet this market need with the AI200 and AI250, hoping to capture a significant share of the data center AI chip market currently dominated by Nvidia. The anticipated competition between Qualcomm and Nvidia is expected to accelerate technological innovation in the AI semiconductor market, providing consumers with improved performance and a wider range of options. Qualcomm's new AI200 is a cutting-edge AI accelerator chip designed to meet the high-performance computing requirements of data centers. According to Qualcomm's announcement, the AI200 supports up to 768GB of LPDDR memory on a single card, providing substantial data processing capabilities. This ensures ample memory capacity for training and running complex AI models, allowing data center operators to handle AI workloads more efficiently. LPDDR memory is characterized by low power consumption and high bandwidth, and the AI200 is designed to leverage these advantages to create an energy-efficient AI computing environment. In addition, Qualcomm also showcased accelerator cards and server rack systems based on the AI200. The accelerator cards, equipped with the AI200 chip, are designed for easy integration into existing server systems, while the server rack systems can accommodate multiple accelerator cards for handling large-scale AI computations. These system solutions support data center operators in adopting and utilizing the AI200 more easily, and Qualcomm aims to strengthen its competitiveness in the data center market by providing not only the AI200 chip but also complete system solutions. Qualcomm's AI200 is expected to contribute to improving AI performance and energy efficiency in data centers, playing a crucial role in strengthening Qualcomm's position in the data center market. Qualcomm's AI250 is the successor model to the AI200 and is expected to offer even greater performance and functionality. Although specific specifications for the AI250, scheduled for release in 2027, have not yet been disclosed, it is expected that it will maximize performance by applying a more advanced architecture and cutting-edge manufacturing processes based on the technology of the AI200. Like the AI200, the AI250 will primarily target the data center market and is expected to be optimized for large-scale data processing and complex AI model calculations. In particular, the AI250 is likely to be developed to reflect next-generation AI technology trends, potentially designed to efficiently support more sophisticated AI models such as natural language processing, image recognition, and voice recognition. Furthermore, the AI250 is expected to offer improved power efficiency compared to the AI200, which could contribute to reducing data center operating costs. Power efficiency is a critical factor, as data centers consume enormous amounts of electricity, and Qualcomm is expected to focus on improving the energy efficiency of data centers with the AI250. Qualcomm aims to gain an edge over Nvidia and become a leader in the data center AI chip market with the release of the AI250. Qualcomm's AI250 is expected to take AI performance in data centers to the next level and support the more efficient delivery of various AI-based services. Qualcomm's AI chip announcement is expected to be a significant catalyst for reshaping the competitive landscape of the AI semiconductor market and accelerating technological innovation, going beyond simply launching a new product. With Qualcomm officially challenging Nvidia's long-held dominant position in the data center AI chip market, the competition between the two companies is expected to intensify. This competition is expected to promote improvements in AI chip performance and price competition, providing consumers with better options. In addition, Qualcomm's AI chip launch plans may stimulate other competing companies, accelerating technological innovation across the AI semiconductor market. For example, other semiconductor companies such as AMD and Intel are likely to invest more aggressively in AI chip development and introduce new technologies and products. This competitive environment is expected to accelerate the pace of AI technology development and contribute to expanding the use of AI in various industries. Qualcomm's AI chip launch plan is also expected to have a positive impact on the AI industry development policies of the South Korean government. Increased competition in the AI semiconductor market can provide new opportunities for domestic companies and help strengthen AI technology competitiveness. The government should actively leverage these opportunities to create a domestic AI industry ecosystem and support its efforts to secure competitiveness in the global AI market. In the future, Qualcomm is expected to accelerate its efforts to target the data center market with the AI200 and AI250. Qualcomm is expected to strive to secure competitiveness not only in the performance of AI chips but also in various fields such as software development tools and technical support. In particular, the AI software ecosystem plays a crucial role in increasing the usability of AI chips, and Qualcomm is likely to provide various support programs for AI software developers. In addition, Qualcomm may strengthen its cooperation with data center operators and pursue joint research and development to optimize the performance of AI chips. Qualcomm's entry into the data center market could also have a long-term impact on the economic policies of the U.S. government. Qualcomm is one of the leading semiconductor companies in the United States, and Qualcomm's successful entry into the data center market can strengthen the United States' technological competitiveness and contribute to economic growth. The government is expected to provide policy support to Qualcomm and other U.S. companies to support their technological innovation and enable them to secure competitiveness in the global market. Qualcomm's AI chip launch plan is expected to change the competitive landscape of the AI semiconductor market and accelerate technological innovation, and the world is watching Qualcomm's moves with keen interest.

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