SK Hynix to showcase 48 Gb/s 24 Gb GDDR7 for Artificial Intelligence inference

SK Hynix will present a 24 Gb GDDR7 chip rated for 48 Gb/s at ISSCC 2026, claiming a symmetric dual-channel design and updated internal interfaces that push past the expected 32 to 37 Gb/s. The paper positions the device for mid-range Artificial Intelligence inference and SK Hynix will also show LPDDR6 running at 14.4 Gb/s.

SK Hynix will demonstrate a 24 Gb GDDR7 chip rated for 48 Gb/s at ISSCC 2026. According to ZDNet Korea the device uses a symmetric dual-channel design and updated internal interfaces to exceed the 32 to 37 Gb/s speeds the industry previously expected from GDDR7. Korean outlet Global Economic News reports the per-pin rate represents more than a 70 percent jump over today’s 28 Gb/s parts, raising per-chip bandwidth from 112 GB/s to 192 GB/s. At 24 Gb density each package provides 3 GB of VRAM, allowing configurations such as 24 GB with eight chips, 36 GB with twelve, or 48 GB with sixteen.

SK Hynix notes a 256-bit GPU using these devices could deliver around 1.5 TB/s of bandwidth while a 512-bit interface would reach about 3 TB/s. The GDDR7 paper listed for ISSCC positions the chip for mid-range Artificial Intelligence inference. SK Hynix joins Samsung and Micron in pushing GDDR7 speeds, and on paper it now targets the highest data rate of the three. The company cautions that actual product clocks will likely land lower since GPU vendors routinely tune memory speeds to meet yield and power targets. GDDR7 at 24 Gb is still new to the market; only NVIDIA’s RTX PRO 6000, the 72 GB variant of the RTX PRO 5000, and the RTX 5090 Laptop currently use 3 GB modules.

ISSCC papers typically appear a year or more before commercial availability, so this generation may reach data center or Artificial Intelligence accelerator boards first. SK Hynix is also introducing LPDDR6 on the same stage, with the new mobile DRAM reaching 14.4 Gb/s, up sharply from LPDDR5’s 9.6 Gb/s. The company is positioning LPDDR6 for high-performance smartphones, Artificial Intelligence PCs, and edge devices running on-device generative Artificial Intelligence.

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