Samsung Electronics wins 2 awards at int'l chip conference
Summary
Samsung Electronics won two awards at the Future of Memory and Storage 2026 conference in California for its next-generation memory technologies. It received the 3D & NAND Innovation Award for V10 BV-NAND and the Next-Gen Memory Award for LPDDR5X-PIM. The company said the technologies are aimed at boosting storage capacity, performance and power efficiency for AI accelerators and high-performance computing systems.
Key Facts
- V10 BV-NAND features an ultra-high-layer architecture with more than 400 layers.
- The technology uses bonding vertical technology and a three-stack structure that connects V-NAND cells across three layers.
- LPDDR5X-PIM is described as the world's first low-power DRAM product to integrate processing-in-memory technology into LPDDR5X memory.

Samsung Electronics' Executive Vice President and Head of Flash Product & Technology Lee Jin-yub, right, receives awards at the Future of Memory and Storage (FMS) 2026 conference held in Santa Clara, California, Tuesday (local time). Yonhap
Samsung Electronics said Thursday it has won two awards at an annual international semiconductor conference in recognition of its next-generation memory technologies.
The Korean tech giant received the 3D & NAND Innovation Award for its V10 BV-NAND technology and the Next-Gen Memory Award for its LPDDR5X-PIM technology at the Future of Memory and Storage 2026 conference held in California.
V10 BV-NAND is Samsung's next-generation V-NAND technology featuring an ultra-high-layer architecture with more than 400 layers.
It employs bonding vertical technology, which vertically bonds wafers, along with a three-stack structure that connects V-NAND cells across three layers, increasing storage capacity while reducing power consumption and heat generation.
LPDDR5X-PIM is the world's first low-power DRAM product to integrate processing-in-memory technology into LPDDR5X memory.
By enabling data processing directly within the memory, it minimizes data movement, improving both performance and power efficiency.
The technology is expected to play a key role in AI accelerators and high-performance computing (HPC) systems, the company said.
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