Core Viewpoint - The acceleration of digital transformation emphasizes the importance of autonomous and controllable computing power, with the launch of the E300 AI computing module aimed at edge scenarios being a significant development in this area [1][2]. Group 1: Product Development - The E300 AI computing module achieves a breakthrough in domestic computing power with 50 TOPS (50 trillion integer operations per second) and allows for the lightweight deployment of a 320 billion parameter model locally [1][2]. - The E300 is equipped with a self-developed domestic AI SoC chip AB100, and its modular design condenses powerful computing capabilities into a module smaller than 10 cm, making it easier to deploy in space-constrained edge devices [2]. Group 2: Market Applications - The E300 supports edge inference for mainstream open-source large models such as DeepSeek, Qwen, and Llama, enabling local deployment of large language models and supporting hundreds of visual models [4]. - The local data processing and private deployment capabilities of the E300 enhance data privacy and system security, catering to high-security and high-reliability AI application requirements in critical sectors like industry, energy, water conservancy, meteorology, government, and education [4].