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NVIDIA GTC 2025: Kioxia Flash Memory and SSD Solutions Empower AI Applications

Including LC9 Series 122.88TB NVMe 2.5-inch SSD, and demo of Kioxia All-in-Storage ANNS with Product Quantization (AiSAQ) technology,

At NVIDIA GTC 2025, Kioxia America, Inc. will highlight the critical role of high-performance storage in AI solutions – including its ability to scale these applications up and out.

Kioxia Flash Memory Nvidia Gtc 2025

Visitors to the company’s booth will discover how, as organizations develop their AI strategies, flash memory can maximize performance and efficiency, helping to make the most of AI investments.

Kioxia invented flash memory, a technology that has become increasingly important to modern AI systems,” noted Neville Ichhaporia, SVP and GM, SSD business unit, Kioxia America “As AI advances at an unprecedented pace, its storage demands grow ever more complex. At Kioxia, we are driving innovation to meet the future needs of storage, purpose-built for AI infrastructures. We’re excited to sponsor and participate in NVIDIA GTC 2025, where the industry comes together to explore how AI and accelerated computing are shaping the world.

Product and technology demonstrations will be given in the firm’s booth #1811 on the show floor of the San Jose McEnery Convention Center, San Jose, CA, from March 17-21 and include:

  • Broad lineup of Kioxia SSDs – Including the recently announced Kioxia LC9 Series 122.88TB capacity NVMe SSD in a 2.5-inch form factor –the company’s first enterprise QLC SSD using BiCS FLASH 3D flash memory 8th Gen technology 2 terabit QLC die.

  • Live demo of Kioxia All-in-Storage ANNS with Product Quantization (Kioxia AiSAQ) technology – Featuring CD8P Series PCIe 5.0 NVMe Data Center SSDs.

  • Live demo of High Capacity QLC Storage for fast retrieval of large datasets – Featuring LC9 Series Enterprise NVMe SSDs.

Additionally, Rory Bolt, senior fellow and principal architect, Kioxia America will be participating in an Expo Hall Theater Session. Taking place on Friday, March 21 at 12:20 PM PT, this session is titled, Improve Vector DB Performance While Reducing DRAM Use in AI Systems.

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