DeepX (CEO Kim Nok-won), a company specializing in on-device AI semiconductors, has surpassed 400 AI semiconductor patents, building a vast patent portfolio for technological independence and global leadership.

DeepX announced on the 26th that it has exceeded 400 domestic and international patent applications based on the original technology it has accumulated since its founding.

DeepX, which began full-scale mass production in the middle of this year, is securing global competitiveness by inheriting and developing ARM's low-power technology strategy and Qualcomm's patent-based market dominance strategy.

DeepX has applied for over 400 patents to date and registered 114 of them (61 in the US).

This is serving as an important foundation for building an export-based, profit-generating industrial structure that breaks away from dependence on foreign technology.

In particular, in the 'Major Corporate NPU Patent Status' published by Forbes last year, DeepX entered the global leader ranks with 34 US published patents, ahead of Qualcomm (22), ARM (20), Nvidia (19), and Intel (17).

In the past, CPU and GPU technologies had to rely on foreign products and pay huge royalties, but DeepX has been securing original technologies and intellectual property rights since the early days of NPU technology.

DeepX learned from the history of the United States monopolizing more than 70% of the original patents in the system semiconductor field. We have built a vast patent portfolio to achieve technological independence and global leadership in on-device and physical AI semiconductors.

ARM and Qualcomm are representative examples of successful startups that have created global standards based on low-power processor technology and essential patents, respectively.

Qualcomm generated astronomical royalties from its first seven concept patents and also won a $30 billion patent lawsuit against Apple.

DeepX is leveraging their strategies to secure a leading position in both low-power technology and patent-based market dominance.

To popularize AI, technology that runs on devices rather than in data centers is essential, and power efficiency, low heat generation, high performance, and GPU-level accuracy are required.

DeepX has proven its low-heat and low-power competitiveness through the 'butter-non-melting experiment', and is leading the on-device AI era with processor technology that focuses on power efficiency, like ARM.