High-bandwidth memory (HBM) has become essential for GPUs and AI accelerators. Unlike conventional DRAM, HBM uses a stacked structure to achieve wide bus widths and high bandwidth. HBM2 delivered around 307 GB/s, while HBM3e and later generations exceed 1 TB/s. This progress has driven up power consumption and heat, forcing a rethink of cooling strategies.
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Why “Chimney” Cooling Became Necessary
The thermal challenge surfaced when the base die moved to a logic process. To push signal speeds from 6.4 Gbps to over 10 GHz, power draw rose sharply. Stacking 12–16 layers or more multiplied heat output by more than four times. Traditional heat dissipation through DRAM layers could no longer adequately cool the D2D PHY, the hottest section.
SK hynix announced “iHBM” on May 27, 2026. It offsets the D2D PHY from the DRAM and places dedicated cooling paths called ICE (Integrated Cooling Elements) directly above it, cutting thermal resistance by 30 %. Samsung unveiled an HBM5 structure using HPB (Heat Path Block) at COMPUTEX 2026. Source: Impress PC Watch (https://pc.watch.impress.co.jp/docs/column/tidbit/2118676.html)
HBM Thermal Density and Cooling Technology Evolution
Hybrid bonding is under consideration for HBM3e and beyond. It reduces thermal and electrical resistance compared with micro-bumps while keeping thickness down, though at higher cost. Forecasts for HBM5 suggest up to 20 layers per stack and over 100 W per stack, making chimney-style structures indispensable. Micron is pursuing its own low-power plus TSV cooling approach.
Vertical Power Delivery and EMIB-T (interposer-through power delivery) are also being adopted to avoid large currents inside the silicon interposer. In the future, liquid cooling integrated directly into the HBM stack itself may become necessary.
Impact on the Semiconductor Industry and Future Outlook
The “chimney” cooling structures for HBM are driving broader changes in packaging technology. In AI servers and data centers, thermal management is increasingly becoming a performance bottleneck. Manufacturers are moving toward standardizing dedicated cooling elements such as iHBM and HPB. For readers evaluating HBM-equipped products, checking the cooling design has become a practical consideration.
HBM Generation Comparison Table
| Generation | Bandwidth (GB/s) | Bus Width (bit) | Speed (Gbps) | Notes |
|---|---|---|---|---|
| HBM2 | 307 | 1,024 | 2.4 | – |
| HBM3 | 819 | 1,024 | 6.4 | Logic process migration begins |
| HBM3e | 1,178 | 1,024 | 9.2 | Increased power consumption |
| HBM4 | 2,048 | 2,048 | 8 | Wider bus |
| HBM4e | 3,072 | 2,048 | 12 | >10 GHz, chimney required |
Source: Impress PC Watch (https://pc.watch.impress.co.jp/docs/column/tidbit/2118676.html), June 2026, extracted from Ōhara Yūsuke’s column.
Frequently Asked Questions (FAQ)
Summary and Takeaways for Readers
HBM “chimney” cooling structures mark the next stage in semiconductor packaging. The growing thermal problem highlights hardware design constraints in the AI era. When evaluating HBM-based products, readers should examine cooling design details to assess the balance between performance and reliability. Refer to the original Impress PC Watch article (https://pc.watch.impress.co.jp/docs/column/tidbit/2118676.html) for the latest developments.
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Author
krona23
Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.
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