Empowers enterprises to scale AI performance without bottlenecks, cut storage costs, and safeguard data with system-wide resilience.

VDURA today announced Version 12 of the VDURA Data Platform, a major software release that redefines scalability and resilience for AI and high-performance computing (HPC) environments. V12 increases performance on every metric and introduces a new elastic Metadata Engine, system-wide Snapshot Support, and optimized integration for hyperscale class HDD’s using Shingled Magnetic Recording (SMR) technology to deliver unprecedented performance efficiency, durability, and capacity scaling across the data lifecycle.

Building on the performance foundation established in V11, VDURA V12 Key Highlights of Data Platform V12 include:

Elastic Metadata Engine: A next-generation, scale-out, metadata engine designed for increased performance. It dynamically scales across nodes to sustain performance as file and object counts grow, eliminating traditional bottlenecks and improving metadata operations by up to 20x.

Snapshot Support: Enables instantaneous, space-efficient point-in-time copies of datasets for AI pipelines, model checkpoints, and operational recovery. Snapshots integrate seamlessly with support for both manual and policy-based retention.

SMR HDD Optimization: Extends the VDURA data platform to support Shingled Magnetic Recording (SMR) drives for ultra-dense data storage. A new write-placement engine organizes sequential zones intelligently, unlocking 25–30% more capacity per rack without compromising throughput or data integrity.

Breakthrough Performance Meets Resilient Scale

The Elastic Metadata Engine enables metadata operations to scale linearly across multiple metadata nodes, supporting billions of files and objects under active use. Combined with snapshot and SMR tier support, V12 further reduces total cost of ownership while extending VDURA’s lead in AI-scale storage economics. With aggregate throughput performance increased by more than 20%, V12 delivers unmatched efficiency for training pipelines, inference workloads, and hyperscale data movement.

“With VDURA V12, we’re increasing throughput performance by more than 20%, accelerating metadata operations by up to 20X, and reducing cost per terabyte by over 20%,” said Ken Claffey, CEO of VDURA. “At the same time, we’re simplifying data protection with new snapshot capabilities that make backup and recovery effortless at any scale.”

“With its V12 release, VDURA expands its highly efficient parallel data management architecture with distributed, elastic metadata scaling; automated snapshotting; and SMR HDD optimization,” said Mary Jander, Senior Analyst at Futuriom. “With these enhancements, VDURA is positioned to meet the growing demands of large enterprises, AI service providers, and neoclouds for optimal performance in increasingly complex data environments—at scale and without compromising cost efficiency or resilience.”

Availability

VDURA Data Platform V12 will be generally available in Q2 2026 for all V5000 and V7000-class systems. Existing customers running V11 or later can upgrade in place via an online software update with zero downtime.

The Mountain vs. the Data Transfer Record at SC25

On Nov 18, 2025, at 11:30 AM CT, Hafþór “Thor” Björnsson returns to SC25 Booth #2033 with VDURA to break the AI and HPC data transfer record. Powered by Phison Pascari SSDs and the VDURA Data Platform, Thor will move hundreds of petabytes in seconds, demonstrating the next level of data performance and scalability.

Last year, Thor stunned the crowd with his World Record Data Lift, hoisting over 282 PB of capacity, the most data ever lifted. This year, it’s all about speed.

About VDURA

VDURA builds the world’s most powerful data platform for AI and high-performance computing, blending flash-first speed with hyperscale capacity and 12-nines durability, all delivered with breakthrough simplicity. Visit vdura.com for more information.

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Empowers enterprises to scale AI performance without bottlenecks, cut storage costs, and safeguard data with system-wide resilience.