👉 Drive computing, also known as storage computing or compute-in-memory computing, is an emerging paradigm that integrates computing capabilities directly within or adjacent to memory systems. This approach aims to overcome the traditional bottleneck of data transfer between the processor and memory, which can significantly slow down data-intensive applications. By performing computations closer to where the data resides, drive computing reduces latency and increases efficiency, making it particularly beneficial for large-scale data processing tasks such as machine learning, big data analytics, and scientific simulations. This paradigm leverages specialized hardware and software architectures to optimize the use of memory resources, enabling faster data access and processing speeds that are critical for modern high-performance computing environments.
