ResearchMIT Tech Review

Architecting memory and storage in the AI era

#ai#infrastructure#data movement#memory#storage

English

Organizations must rethink their infrastructure to support AI inference, focusing on performance, efficiency, and scalability. As data movement becomes a critical bottleneck, enterprises are urged to design integrated systems that optimize memory, storage, and networking to meet the demands of real-time AI services.

中文

组织必须重新考虑其基础设施以支持AI推理，重点关注性能、效率和可扩展性。随着数据传输成为关键瓶颈，企业被敦促设计集成系统，以优化内存、存储和网络，以满足实时AI服务的需求。