MUMBAI: Memory lane is getting a serious AI upgrade. As artificial intelligence demands more speed and storage, Samsung is stacking the odds in its favour quite literally by taking memory to new heights.
Samsung Electronics has unveiled a new generation of AI-focused memory technologies, including a prototype NAND flash chip with more than 400 layers and next-generation 3D memory architectures, as the world’s largest memory chipmaker accelerates its push into the rapidly expanding AI infrastructure market.
The announcements were made at the Future of Memory and Storage (FMS) 2026 conference in Santa Clara, California, where Samsung showcased technologies designed to meet soaring demand for faster, denser and more energy-efficient memory systems powering AI applications.
Leading the showcase was Samsung’s V10 Bonding V-NAND (BV-NAND) prototype, which adopts a new wafer-bonding architecture to significantly increase storage density. According to the company, the technology delivers around 58 per cent higher memory density than the previous-generation V9 NAND, while also improving read, write and input/output performance.
The launch reflects a broader shift in the AI industry, where workloads are increasingly moving from model training to inference and real-time response generation. That transition is placing fresh demands on memory technologies capable of handling larger datasets with lower power consumption and higher throughput.
Samsung also introduced concept models for zHBM and zNAND-O, two new 3D memory architectures aimed at future AI accelerators. Unlike conventional High Bandwidth Memory (HBM), which sits beside AI processors, zHBM is designed to stack memory directly above AI chips, reducing the distance data travels while boosting bandwidth and improving energy efficiency.
The company said future interfaces built around zHBM could deliver approximately eight times the performance of HBM5, while its wafer-bonding technology could enable more than 10 times the memory density of conventional HBM5. Samsung also said the architecture could triple energy efficiency and reduce thermal resistance by more than half, addressing two of the biggest challenges facing AI data centres.
Beyond NAND, Samsung outlined a wider AI memory roadmap spanning DRAM, enterprise storage and next-generation products including HBM4E, HBM5, LPDDR5X-PIM and advanced enterprise SSDs designed for high-performance computing and AI data centres.
The technology showcase comes as AI continues to reshape the global semiconductor industry. Samsung recently indicated that 60 per cent to 70 per cent of its memory sales could eventually come through long-term customer agreements, underscoring the growing importance of AI infrastructure customers. Industry analysts have also pointed to tight inventory levels across the memory supply chain despite concerns over softer demand in parts of the consumer electronics market.
With AI models becoming larger, faster and more data-hungry, Samsung’s latest memory roadmap signals that the next battle in artificial intelligence may be won not only by smarter chips but by the memory that keeps them thinking.
