SK hynix Leads the Charge in Next-Gen AI Memory with World's First 12-Layer HBM4 Samples

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SK hynix has begun sampling its groundbreaking 12-layer HBM4 memory, offering unprecedented capacity and bandwidth for AI acceleration. This development marks a significant leap in memory technology for AI applications.

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SK hynix Unveils Groundbreaking 12-Layer HBM4 Memory

In a significant leap forward for AI memory technology, SK hynix has announced the successful sampling of the world's first 12-layer High Bandwidth Memory 4 (HBM4) to major customers

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. This development marks a crucial milestone in the ongoing race to enhance AI acceleration capabilities, with SK hynix solidifying its position as a leader in the AI memory market.

Unprecedented Performance and Capacity

The new 12-layer HBM4 samples boast impressive specifications that set them apart in the industry:

  • Bandwidth: Capable of processing over 2 terabytes (TB) of data per second, equivalent to processing more than 400 full-HD movies in just one second

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  • Speed Improvement: More than 60% faster than the previous generation HBM3E

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  • Capacity: Achieves an industry-leading 36GB capacity, the highest among 12-layer HBM products

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Advanced Manufacturing Process

SK hynix has implemented its Advanced MR-MUF (Mass Reflow-Molded Underfill) process in the production of HBM4. This innovative technique:

  • Prevents chip warpage
  • Maximizes product stability
  • Improves heat dissipation

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Accelerated Timeline and Market Impact

The company has expedited its HBM4 development and production schedule:

  • Samples delivered ahead of the initial plan
  • Mass production preparations targeted for the second half of 2025
  • Original mass production was set for 2026, but timeline moved up by approximately six months

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Industry Collaboration and Future Prospects

SK hynix's HBM4 development is closely tied to the needs of major players in the AI industry:

  • NVIDIA is expected to use HBM4 in its upcoming Rubin series of GPUs

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  • The company aims to strengthen its position in the next-generation AI memory market

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Broader Industry Trends

The development of HBM4 is part of a larger trend in the memory industry:

  • Other major players like Samsung and Micron are also working on HBM4 solutions

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  • Future iterations like HBM4e are already being planned, with potential for even higher capacities and speeds

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As AI workloads continue to demand more from memory systems, the race to develop faster and higher-capacity solutions like HBM4 is likely to intensify, driving innovation in the semiconductor industry and enabling more powerful AI applications in the coming years.

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