Kioxia LC9 30.72TB E3.S Enterprise QLC SSD

The Kioxia LC9 30.72TB is a high-capacity enterprise SSD built on the E3.S (EDSFF – Enterprise and Datacenter Standard Form Factor) small form factor, leveraging Kioxia's advanced QLC (Quad-Level Cell) BiCS FLASH 3D NAND technology to deliver exceptional areal density within a compact, thermally optimized enclosure. The PCIe Gen 4 x4 NVMe interface provides high-bandwidth connectivity native to modern server platforms, while the E3.S physical format enables dense sled and storage-blade configurations that dramatically increase usable capacity per rack unit compared to traditional 2.5-inch drive deployments. The drive is purpose-engineered for sequential read-dominant workloads where raw capacity per chassis slot is the primary design objective.

Targeted squarely at storage-heavy AI and large-scale analytics deployments, the LC9 30.72TB excels in scenarios where massive training datasets, model checkpoints, feature stores, and data lake repositories must reside on fast flash media without consuming excessive physical space. The QLC NAND architecture maximizes bits-per-cell, enabling the industry-leading 30.72TB capacity point in a single E3.S slot while maintaining acceptable endurance ratings for read-intensive AI inference data staging and cold-tier analytics caching. Kioxia's enterprise-grade firmware incorporates advanced wear-leveling, bad-block management, and end-to-end data path protection (T10 PI / E2E DPP) to safeguard data integrity across the drive's operational lifespan.

As a 2025-Q3 product launch, the LC9 is designed to align with the latest generation of AI server platforms adopting the EDSFF E3.S standard—including OCP-compliant storage sleds and hyperscale-oriented 1U/2U chassis from major ODMs. This makes it a strategic choice for enterprises building out next-generation AI data pipelines, distributed object storage clusters, and high-density NVMe-oF (NVMe over Fabrics) storage pools where per-slot capacity directly translates to infrastructure consolidation and reduced operational footprint.

Ideal for

• AI/ML training dataset repositories: staging petabyte-scale image, text, and multimodal datasets on fast flash media co-located within GPU server chassis to minimize data ingestion latency
• NVMe-oF disaggregated storage pools: deploying dense E3.S shelves as shared block storage targets over Ethernet or InfiniBand fabrics for distributed AI compute clusters
• Large language model (LLM) checkpoint storage: persisting frequent model checkpoints and intermediate activations requiring high capacity and sequential write bursts on dedicated flash tiers
• Hyperscale object storage warm tier: serving as a high-capacity, low-latency warm tier beneath all-flash arrays in multi-tier S3-compatible object storage architectures
• Analytics data lake acceleration: caching cold Parquet, ORC, and Avro datasets on QLC flash to accelerate ad-hoc SQL and Spark query engines without full data migration to expensive SLC/TLC tiers
• Dense virtualized storage consolidation: maximizing VM image library and vSAN capacity-tier density within EDSFF-ready hyperconverged infrastructure nodes to reduce chassis count

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.