Kioxia All Set to Raise the NAND Game in AI SSDs
Summary
Kioxia has launched a 332-layer NAND flash with a 4.8 Gb/s interface speed, utilizing its 10th-generation BiCS FLASH 3D memory technology. This development positions the Japanese chipmaker ahead of competitors like Micron, Samsung, and SK Hynix in the NAND market, specifically targeting enterprise and data center SSDs crucial for AI inference. Kioxia's technological lead is attributed to its focus on NAND over HBM and innovations such as CMOS directly bonded to array (CBA) and on-pitch select gate drain (OPS) technology, which enhance performance and reduce power consumption by 10% at input and 34% at output. The 10th-generation chips offer a 59% improvement in data storage density and 30% better power efficiency compared to its 8th-generation. This strategic focus has driven Kioxia's market capitalization to over \$250 billion, making it Japan's largest company by market value, with mass production slated for next year at its Kitakami fab.
Key takeaway
For AI Architects designing data center infrastructure, Kioxia's 10th-generation 332-layer BiCS FLASH NAND offers a compelling solution for high-capacity, high-speed AI inference SSDs. Your designs should consider this technology's 59% higher density and 30% better power efficiency to optimize performance and reduce operational costs. Evaluate sample shipments for functional testing to validate its suitability for your specific AI workloads, but remain aware of potential competition from other memory giants.
Key insights
Kioxia's 332-layer BiCS FLASH 3D NAND, with CBA and OPS technologies, establishes a significant lead in high-performance, power-efficient AI data center SSDs.
Principles
- Focus on a specific market segment can yield competitive advantage.
- Wafer bonding technology (CBA) enhances NAND performance and power.
- Vertical 3D flash memory (BiCS FLASH) surpasses 2D capacity limits.
Method
Kioxia's CMOS directly bonded to array (CBA) technology manufactures memory cells and control circuits separately on wafers, then bonds them to boost performance and reduce power consumption.
In practice
- Evaluate 10th-gen BiCS FLASH for AI inference workloads.
- Consider CBA-enabled NAND for high-density, low-power storage.
- Prioritize NAND suppliers focused on data center SSDs.
Topics
- NAND Flash
- 3D BiCS FLASH
- AI SSDs
- Data Center Storage
- Wafer Bonding
- CMOS Directly Bonded to Array
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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.