SNIA SDC 2025  - How to Build Exascale Storage with QLC @SNIAVideo
SNIA SDC 2025  - How to Build Exascale Storage with QLC  @SNIAVideo
Uploaded November 2025 | Updated September 2026, 2 weeks ago
As data growth accelerates in the age of AI, hyperscalers demand higher-capacity storage solutions that deliver a balanced combination of performance, power, and cost-effectiveness. In this session, we will present how QLC NAND-based Direct Flash Modules (DFM), in conjunction with Pure’s advanced software architecture, allows hyperscalers to take advantage of high-density, higher-performance, and reliable SSD storage compared to HDDs. Pure’s intelligent flash management software abstracts the host software from the underlying NAND technology, enabling faster adoption of newer NAND technologies and providing flexibility with different NAND vendors. With a configurable solution, Pure’s offering enables the adoption of the same solution across multiple use cases, from AI/ML to HDD displacement.
Understand the advantages of QLC NAND drives over traditional HDDs in terms of performance, density, and reliability for hyperscale environments. Learn how intelligent flash management software can abstract host software from underlying NAND technology, simplifying the integration of new NAND generations. Explore the role of software-defined flash architecture in supporting vendor flexibility and accelerating time-to-market with next-generation NAND technologies. Discover how a configurable storage solution enables deployment across diverse use cases, including AI/ML workloads and HDD displacement scenarios. Gain insights into real-world hyperscaler storage challenges and understand how hardware-software co-design addresses them through a unified, scalable solution.
Presented by Riley Thomasson, Pure Storage
Learn More:
• SDC Website: snia.org/sniadeveloper
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia
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SNIA SDC 2025 - How to Build Exascale Storage with QLC

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