In recent years, high-bandwidth memory (HBM) technology has developed rapidly and become one of the key technologies in the field of artificial intelligence. Especially in the context of the surge in computing demands for large models, HBM has effectively solved the memory wall problem with its advantages such as high speed and large capacity, and has attracted widespread attention in the industry. Storage giants such as Samsung and SK Hynix have expanded production to meet the growing market demand; high-end GPUs such as the H200 released by NVIDIA have further promoted the application of HBM. This article will briefly analyze the current status and challenges of HBM technology.
HBM technology has attracted much attention. Samsung and SK Hynix expanded production to cope with the surge in demand, and the release of NVIDIA H200 stimulated the market. HBM solves the memory wall problem and meets the computing needs of large models, making it a good choice for AI accelerator cards. However, HBM still needs to overcome some challenges when it comes to consumer products.HBM technology has developed rapidly, providing strong impetus for the development of AI. However, its application in the consumer market still faces challenges, and its future development is worth looking forward to. Technological advancement and cost reduction will be the key to HBM becoming more widely used.