HBM growth shifts AI demand toward larger memory workloads

The changing capacity of next-generation GPUs is altering when AI operators turn to memory offload, according to a DIGITIMES analysis. Workloads that once exceeded on-package high-bandwidth memory can now run directly on newer accelerators. External capacity is therefore becoming more relevant for deployments with unusually large memory requirements and for operators seeking to extend the service life of existing GPUs. The report describes a shift in use cases, not a quantified change in total memory demand.