👉 GM Computing, or General Machine Computing, is a paradigm that emphasizes the development and deployment of general-purpose computing systems capable of executing a wide variety of computational tasks, from simple arithmetic to complex machine learning models. Unlike specialized computing architectures like GPUs or TPUs, which are optimized for specific types of workloads, GM Computing aims to create versatile hardware that can efficiently handle diverse applications. This approach leverages advances in semiconductor technology, such as novel materials and design techniques, to build chips that can adapt to different computational needs. By focusing on flexibility and efficiency across a broad spectrum of tasks, GM Computing seeks to democratize access to high-performance computing resources, making powerful computation more accessible and cost-effective for a wider range of users and industries.