Specifications
Product
SK hynix 16 Gb LPDDR6 SDRAM
Density
16 Gb per die (2 GB)
Per-Pin Rate
14.4 Gb/s
Process Node
1c nm (1cnm) — 10 nm-class DRAM
Previous Generation
LPDDR5X, up to 10.7 Gb/s
Speed Uplift
Approximately 33 % over LPDDR5X
Standard Position
14.4 Gb/s aligns with the fastest initial LPDDR6 speed bin
Engineering Focus
Power saving and signal handling to sustain 14.4 Gb/s operation
Conference
IEEE ISSCC 2026, San Francisco
Session
DRAM, SRAM and Non-Volatile Memories
Target Platforms
On-device AI, flagship mobile, edge AI modules, thin-and-light AI PCs
Comparison — Samsung
16 Gb LPDDR6 at 12.8 Gb/s (same ISSCC cycle); LPDDR6X sampling to Qualcomm
Channel Architecture
LPDDR6 sub-channel architecture per JEDEC
Power Relevance
LPDDR6's rate is set by power and signal integrity, not cell speed
Ecosystem
SOCAMM2 and other LPDDR-based server/edge modules built on this generation
Product Status
Technology paper / early product — availability follows the JEDEC ramp
Availability
Roadmap allocation — quote for planning
Overview
SK hynix presented a 16 Gb LPDDR6 device at 14.4 Gb/s per pin at ISSCC 2026, built on its 1c nm DRAM node. The number is not arbitrary: 14.4 Gb/s is the fastest initial LPDDR6 speed bin, and reaching it is roughly a 33 % improvement over LPDDR5X, which tops out at 10.7 Gb/s.
The interesting part of the paper is where the effort went. At these rates the limit is not the memory cell but power delivery and signal integrity across a package and a mobile PCB, so the design work is about power saving and signal handling — how the interface switches and terminates to hold 14.4 Gb/s without a power penalty the platform cannot afford. That is why LPDDR generations track the substrate and packaging roadmap as much as the cell.
Samsung presented a 16 Gb LPDDR6 part at 12.8 Gb/s in the same cycle, so the first LPDDR6 wave ships with two qualified suppliers at different points on the speed curve. LPDDR6 also underpins the LPDDR-based module formats now entering AI servers — SK hynix, Micron and Samsung all ship SOCAMM2 modules — so the generation affects edge AI and on-device inference as much as handsets. QS Compute supplies LPDDR6-generation modules as they reach production.
Key Benefits
14.4 Gb/s per pin — the top initial LPDDR6 bin, 33 % above LPDDR5X. 1c nm node improves power efficiency, which is the real constraint in on-device AI. Two qualified suppliers from the first LPDDR6 wave (SK hynix at 14.4 Gb/s, Samsung at 12.8 Gb/s). Feeds LPDDR-based module formats like SOCAMM2 used in edge and AI-server designs.
Applications
On-device and edge AI inference where memory bandwidth-per-watt is the binding constraint; flagship mobile platforms; thin-and-light AI PCs; and LPDDR-based AI server module formats that trade a socket for bandwidth density.
Request a Quote — SK HYNIX 16GB LPDDR6 AT 14.4 GB/S — 1C NM LOW-POWER DRAM
QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.
Get Your Quote →