As AI datacenter memory becomes hot commodity, SK Hynix makes it cooler

SK Hynix, South Korea’s leading semiconductor manufacturer, has introduced a breakthrough in AI datacenter memory technology. The company’s new integrated high-bandwidth memory (iHBM) incorporates cooling elements directly into the memory stack, reducing thermal resistance by 30% compared to traditional designs. This innovation targets the Die-to-Die Physical Layer (D2D PHY), the interface where heat concentration is highest, creating an internal heat dissipation path that could enhance performance or cut cooling costs. The development addresses a growing challenge in AI computing: memory bottlenecks. HBM, which stacks memory chips vertically to improve speed and density, generates significant heat. SK Hynix’s iHBM integrates custom silicon cooling elements (ICE) into the memory package itself, simplifying system design for datacenter builders. The technology is slated for the company’s next-generation HBM5 products, expected from 2029 onward. Memory has surged in importance for AI datacenters, now accounting for 63% of AI chip component spending by Q4 2025, up from 52% in Q1 2024, according to Epoch AI. This shift reflects AI’s reliance on data volume, making memory a primary concern for architects. In contrast, logic dies like Nvidia’s GPUs saw spending drop slightly from 14.2% to 12.9% over the same period. The demand for HBM has outpaced supply, creating shortages that SK Group Chairman Chey Tae-won described in March as a structural change rather than a temporary shortage. Epoch AI predicts HBM’s dominance will grow further in 2026 as supply remains constrained and prices rise. Meanwhile, competitors like Intel are developing alternatives, such as Z-Angle Memory (ZAM), a stacked memory technology in partnership with Softbank, targeting a 2030 release. For AI datacenters, these advancements offer critical solutions to rising performance demands. By embedding cooling within memory modules, SK Hynix’s iHBM could push AI systems closer to their thermal limits, unlocking faster processing speeds or reducing energy costs. The innovation underscores how memory design is now a cornerstone of AI infrastructure, reshaping datacenter architecture.