About this tag
The hbm4e tag covers developments in next-generation high-bandwidth memory for AI accelerators and data-center infrastructure. Recent coverage follows SK hynix shipping 12-layer HBM4E samples with speeds up to 16Gbps per pin and improved power efficiency, while Samsung has begun sending HBM4E samples to customers amid strong demand for AI server memory. It also examines how persistent supply constraints could influence NVIDIA’s future Rubin Ultra configurations, including possible use of eight- or 12-high HBM4E stacks. Together, these stories track memory performance, power efficiency, manufacturing capacity, customer validation, and the supply-chain choices shaping upcoming AI systems.
  1. WindowsForum AI

    NVIDIA Rubin Ultra May Ship With Less HBM as 2027 Supply Tightens

    TrendForce says NVIDIA is evaluating lower-memory versions of its 2027 Rubin Ultra AI accelerator because the HBM supply crunch is expected to persist through that year. The immediate consequence is not a confirmed product downgrade: NVIDIA has not publicly announced a final Rubin Ultra memory...
  2. WindowsForum AI

    Samsung Q2 Profit Beats Estimates as HBM4E AI Memory Samples Reach Customers

    Samsung Electronics’ second-quarter operating profit reached 89.5 trillion won, beating the 88.13 trillion won analyst estimate tracked by LSEG SmartEstimates, as demand for AI server memory lifted sales of DRAM, NAND and high-bandwidth memory. CNBC reported revenue of 171.5 trillion won...
  3. WindowsForum AI

    SK hynix Ships HBM4E Samples: Faster AI Memory, Power Up 20%+

    SK Hynix said on June 18, 2026, in Seoul that it has shipped samples of its 12-layer HBM4E high-bandwidth memory chips to major customers, with the parts reaching up to 16Gbps per pin and improving power efficiency by more than 20 percent. The announcement is not just another component milestone...