Future-Proofing Gaming: SK hynix Unveils HBM5, GDDR7-Next, DDR6 & 400+ Layer 4D NAND for 2029-2031

SK hynix has unveiled its ambitious technological roadmap, showcasing plans for future advancements in HBM5, GDDR7-next, DDR6, and 400+ layer 4D NAND beyond 2029.

Exciting Developments from SK AI Summit 2025

During the SK AI Summit 2025, SK hynix laid out its vision for next-generation DRAM memory and NAND flash products, highlighting innovations such as custom HBM, HBF, and AI-specific products. Their roadmap consists of two phases: 2026-2028 and 2029-2031, with each period promising advancements in HBM, traditional DRAM, and NAND technologies. From 2026 to 2028, SK hynix plans on delivering HBM4 16-Hi and HBM4E 8/12/16-Hi, along with proprietary custom HBM solutions.

SK hynix's Roadmap Positions HBM5/HBM5E, GDDR7-Next, DDR6 & 400+ Layer 4D NAND In 2029-2031 1

In this new custom HBM solution, SK hynix integrates the HBM controller and other key components into the HBM Base Die, collaborating with TSMC to enhance computing areas while minimizing interface power usage.

SK hynix's Roadmap Positions HBM5/HBM5E, GDDR7-Next, DDR6 & 400+ Layer 4D NAND In 2029-2031 2

Future Innovations: 2029-2031

Looking ahead to 2029-2031, SK hynix plans to develop the next-gen HBM5 and HBM5E solutions along with custom HBM5 offerings. The DRAM landscape will see the introduction of GDDR7-next and DDR6, supplemented by 3D DRAM advancements. GDDR7-next promises exciting developments for graphic cards, although the industry is still working with the first GDDR7 generation, maxing out at 48 Gbps.

SK hynix presentation on AI-N SSDs with diagrams showing AI-N Performance, AI-N Bandwidth, and AI-N Density.
SK hynix memory modules labeled SOCAMM2, LPDDR5R, CXL-CMM, and 24GB LPDDR5X under AI-D Optimization, Breakthrough, and Expansion.

Additionally, SK hynix is setting its sights on 400+ layered 4D NAND and HBF solutions, designed to meet the AI inference needs of future PCs. These products promise to redefine memory’s role, shifting from pure computing support to overcoming AI inference bottlenecks and enhancing system efficiency. As these innovations unfold over the next few years, the tech landscape is poised for transformation.