## HBM: Nvidia's Choice for AI Jensen Huang, CEO of Nvidia, has reiterated the strategic importance of high bandwidth memory (HBM) for the company's artificial intelligence solutions. During CES, Huang addressed questions regarding memory costs and the possibility that the increasing use of SRAM and open source AI models could reduce Nvidia's reliance on expensive HBM. Huang highlighted how HBM offers superior flexibility in deploying AI solutions in different scenarios and with different workloads. This flexibility, according to Nvidia, justifies the investment in HBM technology. ## The Future of Memory in AI HBM memory is a type of high-performance DRAM memory characterized by high bandwidth. This feature makes it particularly suitable for applications that require intense data processing, such as artificial intelligence and high-performance computing. Competition in the memory sector is constantly evolving, with new technologies constantly emerging to meet the growing needs for computing power and energy efficiency.