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2025년 게시판 보기

SK Hynix Eyes On-Device AI After AI Servers — What the World's First 1…

SK HYNIX
SK HYNIX'S WORLD FIRST 1c LPDDR6 / PHOTO BY SK HYNIX
SK HYNIX SK HYNIX'S WORLD FIRST 1c LPDDR6 / PHOTO BY SK HYNIX

SK Hynix has placed another piece on the board. Having secured its position in the AI server market through HBM chips supplied to Nvidia, the South Korean chipmaker has now completed development of the world's first 1c-process LPDDR6 DRAM — targeting the next frontier: on-device AI. Volume production is set to begin in the second half of this year. With Samsung and Micron yet to announce a comparable product, SK Hynix has effectively opened a lead of at least six months.

The name demands unpacking. "1c" denotes SK Hynix's sixth-generation 10nm-class fabrication process — the most advanced node in its DRAM roadmap, capable of packing more circuits into the same die area, which simultaneously raises performance and lowers cost per bit. LPDDR6 is the next-generation mobile memory standard, successor to the LPDDR5X found in today's premium smartphones. The convergence of both — a new process node and a new specification generation — in a single product is not routine. It signals a genuine generational shift, not an incremental refresh.

The numbers bear this out. SK Hynix's LPDDR6 delivers data transfer speeds exceeding 10.7Gbps — a 33% improvement over LPDDR5X — while achieving more than 20% better power efficiency. That combination matters because on-device AI imposes demands that neither server DRAM nor previous mobile memory was optimized to meet.

On-device AI — inference running directly on a handset rather than offloaded to a cloud server — places unusual stress on memory. The workload is irregular: bursts of intensive AI computation interspersed with periods of near-idle operation. Memory must respond instantly to peak demand while conserving power the rest of the time. SK Hynix has addressed this by refining Dynamic Voltage and Frequency Scaling (DVFS) at the memory level, allowing the chip to modulate power draw in real time based on workload. This is the architecture that Qualcomm, Apple, and MediaTek will require as they design silicon for AI-native smartphones.

Strategically, the timing advantage translates directly into customer lock-in. Flagship smartphone platforms are designed 12 to 18 months before launch; memory partners are selected early in that cycle. The vendor with validated samples on the table first is almost always the vendor that wins the volume contract. SK Hynix's stated goal of scaling 1c wafer output roughly ninefold by end-2026 reflects the urgency of being supply-ready precisely when LPDDR6 adoption accelerates — expected in the 2026-to-2027 window.

The risks are real. LPDDR6 adoption is contingent on Qualcomm Snapdragon and Apple Silicon formally supporting the interface. Neither has published a roadmap. Samsung's vertically integrated model — designing both memory and Exynos AP in-house — could limit SK Hynix's addressable market within the Galaxy ecosystem. In the end, the decisive battleground is likely Apple: winning the supply contract for the iPhone's next memory generation would validate the entire strategy.

The world's first title is the starting gun, not the finish line. SK Hynix has drawn a clear arc from AI infrastructure to AI endpoints. Whether the market moves on schedule is now largely out of its hands.

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