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OCP Global Summit 2025: Kioxia Improves Flash Storage Lifespan and Performance in RocksDB with New Open-Source Software

Database plug-in reduces write amplification in multi-SSD RAID configurations

Kioxia America, Inc. announced an expanded RocksDB plug-in that enhances SSD lifespan and performance in multi-drive RAID environments.

Kioxia Brandlogo Sil Rgb

Building on its earlier demonstration of a Flexible Data Placement (FDP)-enabled SSD running RocksDB, the company will showcase this advancement at the upcoming Open Compute Project (OCP) Global Summit.

In a 4-drive RAID-5 setup, Kioxia’s new plug-in reduced write amplification factor (WAF) by 46% and boosted throughput to 8.22x the performance of MDRAID (1). In a 2-drive mirrored configuration, WAF was reduced to 1/3 and achieved throughput performance of 1.45x compared to MDRAID (1). The technology achieves these gains by consolidating data writes so they are written sequentially – preventing data fragmentation and reducing garbage collection.

RocksDB, widely adopted for GenAI and cloud applications, is optimized for high-performance searches and efficient management of historical data.

XD8 Series SSDs

Kioxia Xd8 Series Ssds Series P

The new plug-in will be featured with the Kioxia XD8 Series SSD in a live demonstration at the company’s booth (A51) during the 2025 OCP Global Summit. The demo will showcase performance gains and reduced WAF in a 2-drive RAID 1 configuration with the RocksDB plug-in, compared to standard Linux RAID mirroring.

The company will release the plug-in as an open-source contribution, underscoring its commitment to advancing SSD and flash memory technologies industry-wide. By sharing innovations that improve efficiency, Kioxia continues to support the evolving needs of advanced computing infrastructures and data centers.

The new plug-in is expected to be released in CQ1 2026.

(1) Performance claim based on testing in a Kioxia lab environment. Lifespan measurement based on reduction of Write Amplification Factor (WAF). RocksDB performance improvement based on increase of queries/second.

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