SK hynix unveils iHBM cooling tech that cuts AI memory heat by 30% for next-gen accelerators

SK hynix unveils 'iHBM' thermal architecture that cools AI memory at the source -- integrated cooling elements inside HBM interface cut thermal resistance by 30%, target next-gen HBM5 accelerators and dense AI data centers

In an official press release today, May 26, SK hynix announced 'iHBM,' a memory heat management technology designed to enhance AI system performance. The thermal packaging solution enhances heat dissipation by integrating (Integrated Cooling Elements) ICEs directly into the HBM package. SK hynix says the result is an over 30% reduction in thermal resistance, "ensuring stable operating characteristics even in high-temperature and high-load environments." The iHBM architecture embeds non-conductive, silicon-based cooling elements directly into the Die-to-Die Physical Layer (D2D PHY), the critical, high-speed connection interface between the HBM base die and the AI processor, which is prone to high temperature spikes as a result of extreme data traffic. By placing cooling elements in this layer, SK hynix mitigates the severe thermal throttling that cripples AI system performance during heavy computational workloads. The company believes that structurally preventing thermal throttling will enable next-generation memory layers (targeted for future generations like HBM5) to scale to higher stack heights and sustain maximum data transfer speeds under the heavy computational loads of AI data centers. "iHBM is the optimal solution for minimizing heat generation developed by combining memory design capabilities and advanced packaging technology," said SK hynix Vice President Lee Kang-wook. "We will proactively provide the value customers need in the AI environment and further solidify our leadership in AI memory." SK hynix plans to apply iHBM technology from next-generation products, such as HBM5, to meet the thermal management requirements of high-performance computing (HPC), AI data centers, and other ultra-high-density and ultra-high-bandwidth environments, thereby improving overall system stability and efficiency. Heat management is one of the biggest challenges facing HBM (High-Bandwidth Memory) technology. Unlike conventional memory, HBM achieves massive bandwidth by vertically stacking multiple DRAM dies, dramatically shortening the distance data must travel and enabling far higher transfer speeds with better power efficiency. To minimize latency and feed AI processors fast enough to avoid bottlenecks, HBM is placed extremely close to the GPU or AI accelerator on the same package, connected through a high-speed silicon interposer. However, this dense arrangement also creates severe thermal problems. The Die-to-Die Physical Layer (D2D PHY) -- the ultra-high-speed interface linking the processor and HBM stacks -- continuously moves terabytes of data per second. As thousands of signaling lanes and billions of transistors switch at extremely high frequencies, switching losses, leakage current, and electrical resistance generate substantial heat. The problem is compounded by the processor itself, which already produces enormous amounts of heat. With the HBM stacks packed tightly around the processor, heat accumulates rapidly in a very small area. When temperatures exceed safe limits, the system automatically reduces clock speeds and voltages through thermal throttling to prevent physical damage, lowering overall performance. SK hynix's new iHBM approach attempts to tackle the problem at the structural level. Unlike conventional HBM cooling designs that primarily dissipate heat indirectly through the core die and surrounding package structures, the company's iHBM architecture instead places Integrated Cooling Elements (ICEs) directly around the D2D PHY region -- the exact zone where thermal concentration is most severe. This approach creates a dedicated dissipation path at the source, reducing overall thermal resistance by 30% and allowing the chip to maintain stable operation under the high-temperature, high-pressure conditions that dense AI workloads demand. SK hynix says the technology can be manufactured at scale using its existing Wafer Level Packaging (WLP) process, which is built on its Mass Reflow Molded Underfill (MR-MUF) packaging technology already used in commercial HBM products. The design is also architecturally compatible with existing System-in-Package configurations, meaning customers can integrate the new thermal capability without major redesigns. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.

SK hynix unveils self-cooling iHBM chips to combat AI overheating - The Korea Times

An explanatory image of SK hynix's new iHBM technology / Courtesy of SK hynix SK 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. Controlling power density in that zone has emerged as a key differentiator in next-generation HBM development. iHBM addresses the problem by placing integrated cooling elements (ICE), directly within the D2D PHY area. ICE uses electrically non-conductive but thermally conductive silicon material to form a dedicated heat path inside the package, replacing the indirect routing of heat through core dies used in conventional HBM. SK hynix said the approach lowers thermal resistance by more than 30 percent compared with existing designs and maintains stable operation under high-temperature, high-load conditions. The company said iHBM is also designed for manufacturability. It is built on the company's Advanced Mass Reflow Molded Underfill-based wafer-level packaging process, which has already been validated in mass production. High design compatibility with existing system-in-package environments means customers can adopt the technology without major redesign work. SK hynix plans to apply iHBM beginning with HBM5 and continuing with subsequent products targeting high-performance computing and AI data center applications. Lee Kang-wook, senior vice president and head of packaging development at SK hynix, said iHBM combines memory design and advanced packaging expertise to minimize heat generation and that the company would use it to reinforce its leadership in AI memory.