News Report Technology
August 05, 2026

Samsung Debuts Comprehensive 3D AI Memory Roadmap With zHBM, zNAND-O, And V10 BV-NAND

In Brief

Samsung unveiled next-gen AI memory at FMS 2026, showcasing zHBM, zNAND-O, and industry-first over 400 layer V10 BV-NAND for advanced AI infrastructure.

Samsung Debuts Comprehensive 3D AI Memory Roadmap With zHBM, zNAND-O, And V10 BV-NAND

Samsung Electronics unveiled its next-generation AI memory portfolio at the Future of Memory and Storage (FMS) 2026 conference in Santa Clara, California, presenting a comprehensive technology roadmap designed to meet the fast growing demands of high-performance computing and artificial intelligence infrastructure. 

The company showcased approximately 30 memory and storage technologies at an AI cloud server-inspired booth, while Jin-Yub Lee, Executive Vice President and Head of Flash Product & Technology, and Kyungryun Kim, Vice President of the DRAM Design Team, delivered the opening keynote titled “Driving the Wave of AI Revolution: 3D Innovations in Memory & Storage Architecture.”

Vertical Architectures Redefine Memory-Processor Integration

At the center of Samsung’s vision are two concept models that fundamentally restructure how memory interfaces with processors. The company introduced zHBM, which vertically stacks high-bandwidth memory directly above AI accelerators rather than positioning it alongside the chip. Samsung states that this design minimizes data travel distance, delivering roughly eight times the performance of HBM5, more than ten times the memory density, and three times the energy efficiency, while reducing thermal resistance by over half. 

The architecture also supports custom intellectual property integration between layers, enabling tailored solutions for specific accelerators. Alongside zHBM, Samsung previewed zNAND-O, a V-NAND-based solution developed in four- and eight-layer variants that combines high space efficiency with low latency for real-time edge AI workloads.

From 400-Layer NAND to Integrated Turnkey Production

Samsung also announced V10 BV-NAND, the industry’s first Bonding V-NAND architecture enabled by new wafer bonding technology. Featuring more than 400 layers, the device increases memory density by approximately 58 percent over the previous V9 generation while improving read, write, and I/O performance. The milestone arrives thirteen years after Samsung introduced the industry’s first V-NAND.

Beyond concept hardware, Samsung detailed its near-term production roadmap. Following the industry’s first mass production of HBM4 in February, the company began shipping HBM4E samples in May and exhibited its HBM5 model at FMS 2026. Samsung also showcased LPDDR5X-PIM, the industry’s first low-power DDR memory with processing-in-memory technology, which executes computations within the memory array to limit data movement and power draw. 

For data center infrastructure, the PM1763 and BM1773 enterprise storage solutions were featured. As the sole integrated device manufacturer with leading capabilities across memory, foundry, and advanced packaging, Samsung highlighted its end-to-end turnkey strategy, offering integrated design and manufacturing services intended to shorten development cycles and optimize performance for AI semiconductor customers.

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author

Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

More articles
Alisa Davidson
Alisa Davidson

Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

Hot Stories
Join Our Newsletter.
Latest News

2026 AI Market Claims Vs SEC Fillings: Linkmate Analysis

Is the AI market really all just PR talk or there's a deeper math going on in ...

Know More

How Minmax Is Building The Professional AI Trading Terminal Prediction Markets Still Lack In 2026

Minmax processed roughly $100,000 in volume in the first three days of June, most of it through ...

Know More
Read More
Read more
CryptoQuant: Bitcoin Undergoes Sharpest Deleveraging Since 2023 As Short Positions Unwind
Markets News Report Technology
CryptoQuant: Bitcoin Undergoes Sharpest Deleveraging Since 2023 As Short Positions Unwind
September 7, 2026
Robinhood’s Vlad Tenev: Tokenization Is The Infrastructure That Will Globalize US Capital Markets
Business News Report Technology
Robinhood’s Vlad Tenev: Tokenization Is The Infrastructure That Will Globalize US Capital Markets
September 7, 2026
Crypto Community Rallies For Nepal As 1win Commits More Than $46,000 To Relief
News Report Technology
Crypto Community Rallies For Nepal As 1win Commits More Than $46,000 To Relief
September 7, 2026
How Digital Twins Are Transforming Manufacturing And Smart Cities
Web 3.0 Wiki Technology
How Digital Twins Are Transforming Manufacturing And Smart Cities
September 7, 2026