👉 Hollow computing is an innovative approach to data processing and storage that departs from the traditional dense, centralized architecture of conventional computing. Instead of packing all processing and memory onto a single chip or server, hollow computing involves distributing these resources across multiple, interconnected, and often physically separated nodes. This architecture typically consists of a series of "hollow" servers or nodes, each equipped with its own memory and processing capabilities, connected via high-speed interconnects. This setup allows for more efficient data management, reduced latency, and enhanced scalability, as workloads can be dynamically allocated to the most suitable nodes based on their current capacity and proximity. Additionally, hollow computing can improve energy efficiency and resilience, as the distributed nature minimizes the risk of single points of failure and reduces the energy required for data transmission. By leveraging this decentralized model, hollow computing aims to address the limitations of traditional computing paradigms and better meet the demands of modern data-intensive applications.
