Core Viewpoint - The launch of the "Zhizhe No. 1," a compact supercomputer equipped with original brain-like algorithms, marks a significant milestone in making supercomputing accessible to individuals and small enterprises [1][6]. Group 1: Product Features - "Zhizhe No. 1" is designed to be slightly larger than a mini refrigerator, promoting a new era of small-scale, green, personalized, and accessible computing [3]. - The supercomputer integrates 1,152 CPU cores, 4.8TB of DDR5 memory, 204TB of storage, and a 40G high-speed network interface, making it suitable for local data training for medium to large enterprises [8]. - The core technology of "Zhizhe No. 1" is the Intuitive Neural Network (INN), which allows for efficient training and inference of various models, including large models [10]. Group 2: Technological Advancements - The INN algorithm enables the AI to provide reasoning alongside its conclusions, enhancing its interpretability compared to traditional AI systems [10]. - "Zhizhe No. 1" can complete training on 10 billion tokens in just 30 hours, achieving training and inference speeds of 100,000 tokens per second and 500,000 tokens per second, respectively [10]. - The platform reduces hardware costs by approximately 50% and energy consumption by nearly 90%, while maintaining a noise level comparable to a typical office environment [10]. Group 3: Market Implications - The introduction of "Zhizhe No. 1" is expected to empower various sectors, including finance, healthcare, and manufacturing, by making supercomputing capabilities widely available [10].