KIOXIA Announces Industry’s First 245.76 TB NVMe SSD Built for the Demands of Generative AI Environments

Kioxia unveils world's highest-capacity SSD at 245TB, aims at hyperscale data centers

Part of Kioxia's LC9 series of enterprise SSDs, the new drive offers 245.76TB of capacity by stacking 32 2Tb QLC 3D flash memory dies to achieve industry-leading density. It features a proprietary NVMe 2.0 controller and supports a PCIe 5.0 x4 interface with dual-port connectivity.Read Entire Article

KIOXIA Announces Industry’s First 245.76 TB NVMe SSD Built for the Demands of Generative AI Environments

TOKYO--(BUSINESS WIRE)--Jul 22, 2025-

Kioxia Unveils LC9 Series Up to 245.76TB PCIe 5.0 NVMe 2.5-Inch and EDSFF E3.L Form Factor SSD

Kioxia Corporation has expanded its high-capacity LC9 Series enterprise SSD lineup by introducing the industry’s first (1) 245.76TB (2) NVMe SSD in 2.5-inch and EDSFF E3.L form factor. This new capacity and form factor option complements the previously announced 122.88 TB (2.5-inch) model and is purpose-built for the performance and efficiency demands of GenAI environments. […] The post Kioxia Unveils LC9 Series Up to 245.76TB PCIe 5.0 NVMe 2.5-…

Kioxia unveils highest capacity SSD at 245.76 TB – Blocks and Files

Online storage capacity constraints are melting away with Kioxia announcing the largest capacity SSD at 245.76 TB, opening the door to a 200-plus petabyte rack and a five-rack exabyte configuration. It complements the already announced 122.88 TB model and is intended for use in data lakes – where massive data ingestion and rapid processing are […]

CDRLabs.com - KIOXIA Announces Industry’s First 245.76 TB NVMe SSD

KIOXIA America, Inc. has expanded its high-capacity KIOXIA LC9 Series enterprise SSD lineup by introducing the industry’s first 245.76 terabyte (TB) NVMe™ SSD in a 2.5-inch and Enterprise and Datacenter Standard Form Factor (EDSFF) E3.L form factor. This new capacity and form factor option complements the previously announced 122.88 TB (2.5-inch) model and is purpose-built for the performance and efficiency demands of generative AI environments.…