SK hynix unveils self-cooling iHBM chips to combat AI overheating
SK hynix has introduced its new iHBM technology, which features integrated cooling elements to reduce heat generation in AI computing environments. This innovation addresses the critical heat management challenges posed by high bandwidth memory as AI workloads increase. The company aims to implement iHBM in its upcoming HBM5 products and beyond, enhancing performance in high-performance computing and AI data centers.
- ▪SK hynix's iHBM technology embeds cooling elements within the HBM package to combat overheating.
- ▪The new design reduces thermal resistance by over 30 percent compared to traditional HBM designs.
- ▪iHBM is compatible with existing system-in-package environments, facilitating easier adoption for customers.
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An explanatory image of SK hynix's new iHBM technology / Courtesy of SK hynixSK hynix on Tuesday revealed its new high bandwidth memory technology iHBM, which embeds a proprietary cooling element inside the HBM package to substantially reduce heat generation in artificial intelligence (AI) computing environments.The company said heat management has become a critical bottleneck as HBM stacks more layers and operates at higher speeds to keep pace with surging AI workload demand. Heat concentration is most acute at the die-to-die physical layer (D2D PHY), the high-speed data interface between the HBM base die and AI processor dies.
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