Optimized Computer Architecture for Artificial Intelligence: Next-Generation Systems

The rapid development of Artificial Intelligence (AI) requires the optimization of computer architectures to ensure efficient functioning. This paper analyzes the development process of specially optimized computer architectures for AI systems, evaluates the effectiveness of next-generation technologies applied to these systems, and examines their future prospects. The study explores specialized devices such as GPUs, TPUs, and ASICs, as well as emerging technologies like quantum computing, optical computing, and neuromorphic systems, highlighting their importance in enhancing the performance of AI systems. Each of these technologies contributes significantly to improving the efficiency of AI systems by offering high parallel processing capabilities, energy efficiency, and high-speed data processing. Furthermore, the paper assesses the practical applications and future development prospects of these systems. This research serves as an important resource for the development of new architectures and technologies aimed at improving the performance of AI systems, both scientifically and practically.