VDURA, provider of high-performance data storage infrastructure for AI factories and neoclouds, today announced the general availability of the VDURA® Data Platform V12, the release that turns the platform into a multi-tenant, API-driven storage service for GPU clouds and AI factories. V12 ships as a qualified solution on Supermicro Building Block Solutions®, scaling from 8 to 100,000 GPUs on one software stack. VDURA will showcase V12 at Ai Everything Abu Dhabi, 6–7 October at ADNEC Centre, Booth H3-D45.
Neoclouds and AI factories exist to rent and run GPUs, and storage determines how much of that GPU capacity turns into revenue. Every accelerator waiting on a checkpoint, a model load, or a cold read is margin lost. Every tenant that cannot be isolated is a contract that cannot be signed. Every kilowatt spent on storage is a kilowatt not spent on compute. V12 was engineered for that operating model: keep every GPU fed, keep every tenant isolated, keep every cluster online, and do it on hardware operators already standardize on.
“Neocloud and AI factory operators told us exactly what they need from storage: keep the GPUs fed, isolate the tenants, automate everything, expand capacity for cold data without a second system, and move that data back to flash the moment it warms up for extended context,” said Ken Claffey, CEO of VDURA. “V12 is that list, shipped. It is the same mixed-fleet, software-defined model the hyperscalers run inside their own clouds, delivered on Supermicro systems our customers already buy. Every watt and every rack unit we give back is another GPU the operator can put into service.”
What is new in V12
V12 extends the HYDRA architecture, VDURA’s High-performance, Yield-optimized, Distributed, Resilient Architecture, with the capabilities multi-tenant GPU infrastructure requires:
- Multi-tenant by design. Per-tenant quality of service, namespaces, encryption keys and VLAN isolation on one shared fleet, so a provider can carve a single storage pool into hard-walled tenant services with capacity and performance guarantees.
- API-first automation. REST APIs, Kubernetes CSI and infrastructure-as-code tenant provisioning, so storage is deployed, provisioned and billed through the same pipelines as the rest of the GPU cloud.
- Context-Aware Tiering™. Data lands on the right media automatically as access patterns shift between training and inference. Roughly 90% of files stay on flash while roughly 90% of capacity settles on HDD, in one platform with no stub files, no rehydration steps and no manual tuning.
- Persistent context for inference. A KV cache that outlives the pod. Sessions resume instead of prefilling again, delivering faster first tokens and more concurrent users on the same GPUs, at flash cost rather than recompute cost.
- RDMA data paths. Direct GPU-to-storage transfers with the CPU out of the path. The DirectFlow™ parallel client takes roughly 191 MB of DRAM and zero cores from the GPU node.
- Elastic Metadata Engine. VeLO™ metadata acceleration of up to 20x improvement, 225,000 creates and deletes per second per Director, and billions of metadata operations per second in aggregate.
- File and S3 in one platform. An S3 object is a file in the volume, not a copy of one. No staging copies between ingest, training, inference and archive.
- Snapshots and SMR HDD optimization. Instantaneous, space-efficient snapshots for checkpoints and operational recovery, and SMR HDD unlocking 25 to 30% more capacity per rack.
- End-to-end encryption. AES-256 at rest and in flight, with KMIP key management per tenant.
- Self-healing resiliency and VDURA Sentinel™. Failure domains as small as a single VPOD™, no manual rebuilds and no downtime windows, backed by VDURA Sentinel™ proactive support that opens the service request, with the diagnosis attached, before the customer sees a fault.
Qualified on Supermicro
V12 is qualified on 100% Supermicro Building Block Solutions. The qualified configuration uses the Supermicro AS-1116CS-TN, a 1U system with a single AMD EPYC™ 9005 series processor and 12 NVMe bays, as both the VeLO Director node and the all-flash F-Node, alongside the AS-2015HS-TNR hybrid storage node and the CSE-947HE2C 4U 90-bay JBOD for the mixed-fleet data plane. Every node connects with RDMA straight to the GPU nodes and no dedicated back-end storage fabric.
Built for GPU economics
Clusters grow online from three nodes to thousands, and flash share is a dial rather than a fork. A single platform at roughly 20 PB usable spans a 35x performance range, from a capacity-optimized mixed fleet at 2% flash and 18 kW to an all-flash configuration at 1,000 MB/s per TB, so operators size storage to the workload instead of standing up a second system when the workload changes. The result is 2x+ performance per watt and more than 60% lower total cost of ownership than competitive architectures at the same feed rate, which returns power, rack space and capital to the operator for more GPUs.
Proven at scale
V12 builds on 25 years of parallel file system engineering, from PanFS to VDURA, with more than 1,000 production deployments in over 50 countries and namespaces of more than 1,500 nodes. VDURA Data Platform V12 was named AI Data Management Solution of the Year in the 2026 AI Breakthrough Awards.
Meet VDURA and Thor at Ai Everything Abu Dhabi
VDURA will demonstrate V12 on Supermicro at Ai Everything Abu Dhabi, 6–7 October 2026, ADNEC Centre, Booth H3-D45. VDURA partner Hafþór “Thor” Björnsson (The Mountain from Game of Thrones and Strongman), whose record-setting data lifts have powered VDURA, will be at the booth alongside Team VDURA. Operators building or expanding GPU capacity in the region can book time with the team at AI Everything Abu Dhabi.
Availability
VDURA Data Platform V12 is generally available today for all V5000 class systems and as an upgrade for V11 customers. VDURA Sentinel™ is included with V12; proactive service requests and parts dispatch are delivered through VDURACare Premier, VDURA’s 10-year support offering covering hardware, software and 24×7 expert response under a single contract. Learn more at vdura.com/data-platform.
About VDURA
VDURA is the high performance data storage infrastructure for AI factories and Neoclouds. Powered by HYDRA, its software-defined, mixed-fleet architecture keeps every GPU fed, every tenant isolated, and every cluster online, delivering hyperscale-class durability and economics with up to 8 nines of durability and a heritage of more than 1,000 production deployments. Visit vdura.com for more information.
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