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Modern Data Storage Infrastructure for Neoclouds

VDURA delivers industry-leading time-to-market for Neoclouds.

VDURA accelerates Neocloud deployment, scale, and time-to-market. VDURA is software-defined, operational in a day, and scaling new nodes is as simple as lighting up more flash or hybrid storage in your rack. Your GPU storefronts go live faster and stay agile.

Designed for industry-leading GPU reference architectures, VDURA streams checkpoints into elastic flash nodes backed by hybrid data storage nodes while GPUs are still running, and serves inference payloads from the same fabric, eliminating backlogs, secondary namespaces, and day-two surprises.
Data Platform
Performance
Power & Efficiency
Playbook Fit
Checkpointing
Support

Multi-tenancy

Per-tenant QoS, encryption, namespaces, and VLANs keep enterprise renters isolated.

Data movement

Flash-first writes, inference-class reads, and hybrid tiering keep GPUs fully utilized.

Operational simplicity

Automation and open APIs run day-two operations so small teams manage massive fleets.

Granular scalability

Add nodes without downtime and scale flash or hybrid capacity independently.
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POWER IS THE HARD LIMIT

The constraint is not silicon anymore, it is watts.

  • AI factories already consume more than three percent of global power draw.
  • A 10,000 GPU cluster can pull tens of megawatts and every idle GPU wastes capital.
  • The race now rewards efficiency per rack and per SSD, not raw peak flash.
VDURA delivers more than two times performance per watt versus peers through parallel flash nodes, hybrid data storage nodes, and intelligent tiering that keeps GPUs busy and the power bill justified.
Every rack, every watt, every SSD must deliver value.

Power guardrails

Inefficient storage equals idle GPUs equals wasted megawatts. VDURA keeps supply constraints in check by matching throughput to GPU demand so you can sign up new renters without calling the utility.
  • Parallel ingest and tiering avoid stranded flash
  • Policy driven placement maximizes efficiency
  • Telemetry proves performance per watt to finance

THE VDURA DATA PLATFORM

AI and HPC need more than GPUs, they need high-performance data infrastructure.

VDURA DirectFlow spans AI compute, high-speed networks, and high-speed storage so GPU fleets from a few racks to more than 100k GPUs stay saturated.
  • AI compute infrastructure: GPUs and CPUs run DirectFlow clients for ultra-low latency access to VDURA.
  • High-speed network: InfiniBand or Ethernet fabrics move data between compute and storage with linear scaling.
  • High-speed storage: Director nodes manage metadata, F-nodes deliver NVMe flash throughput, and hybrid nodes provide cost-efficient capacity.
VDURA software turns dozens or thousands of storage servers into one resilient data platform with a single namespace, file + object access, and file-level erasure coding.

AI Compute

GPU

GPU

GPU

GPU

GPU

GPU

GPU

GPU

CPU

DirectFlow clients feed each accelerator

High-Speed Network

Switch

Switch

Switch

InfiniBand or Ethernet fabrics move data at line rate

VDURA Data Platform

Director

Director

Director

Flash

Flash

Flash

Flash

Capacity

Capacity

Capacity

Capacity

Director nodes manage metadata, flash F-nodes drive NVMe performance, hybrid capacity nodes add HDD economics.

AI DATA PIPELINE

From ingest to inference without idle GPUs.

Neocloud infrastructure leaders must keep the entire flow synchronized: ingest, clean, label, train, validate, deploy, archive. Checkpoints are the heaviest stage, inference traffic is the most latency sensitive, and both live on VDURA.
  • Flash nodes absorb model load, fine tuning bursts, and retrieval augmented inference.
  • Hybrid data storage nodes retain older checkpoints and archives without burning SSD budgets.
  • Telemetry predicts bottlenecks before idle GPUs cost millions.

Pipeline guardrails

Idle GPUs or lost checkpoints equal lost revenue. VDURA keeps the pipeline balanced.

  1. Data ingest writes land on flash nodes at line rate.
  2. Parallel migration streams move checkpoints while training continues.
  3. Inference datasets stay hot with QoS carved per tenant.

FEED THE PRODUCTION LINE

Storage throughput determines factory speed.

  • NVIDIA and AMD demand linear performance scaling.
  • NVIDIA recommends 0.5 GB/s reads and 0.25 GB/s writes per GPU on DGX B200, up to 4 GB/s per GPU for vision workloads.
  • 10,000 GPUs therefore require roughly 5 TB/s sustained reads and 2.5 TB/s writes.
VDURA hits those numbers efficiently because every flash node is purpose built to fan out to six or seven GPUs while hybrid nodes handle the rest.
NVIDIA
AMD

CAPITAL ALLOCATION

Performance where it matters, efficiency everywhere else.

Measure your AI factory by tokens, by dollar per GPU hour, or any KPI investors watch. VDURA lets you saturate GPUs with flash then rely on hybrid nodes for everything else so you never drown in diminishing returns.

Flash efficiency >40%

One SSD can support the IO needs of six to seven GPUs. One flash node can fan out to fifteen eight-way servers.

More intelligence per dollar

Up to sixty percent lower acquisition cost versus all-flash competitors while keeping GPUs fully utilized.

Zero unplanned downtime

Online scalability lets you add flash or hybrid capacity without draining renter workloads.

PERFORMANCE • ECONOMICS • SIMPLICITY

Infrastructure leaders get time-to-market, not toil.

Neocloud decision makers care about how fast they can monetize GPUs, how predictable day-two operations feel, and how resilient they look in front of enterprise buyers. These pillars translate VDURA’s platform story into that language.

Performance

Cluster-wide low latency powered by flash-optimized data paths, so Neocloud renters can sustain peak tokens/sec.
  • Multi-tenant QoS prevents noisy neighbors
  • Sense telemetry predicts GPU starvation before it hits
  • Unified data plane serves training checkpoints and inference corpora
  • Zero-copy pipelines keep agents fed

Economics

Cloud-style elasticity without the public cloud tax: automated tiering and guaranteed data reduction across the fleet.
  • Smart tiering for cold checkpoints
  • Hybrid economics giving you flexibility to adapt to current and increasing SSD price fluctuations
  • Energy-aware placement to hit carbon goals

Simplicity & reliability

Guaranteed reliability SLAs, seamless expansion, and security close the loop on scaling storage, securing tenants, and keeping storage simple.
  • Scale flash and capacity nodes independently
  • Per-file erasure coding plus end-to-end encryption
  • Dedicated encryption keys per tenant

SOFTWARE-DEFINED HARDWARE CHOICE

VDURA runs on commodity building blocks.

Infrastructure leaders do not want vendor lock-in on power-hungry storage appliances. VDURA is software-defined and runs on the hardware you already standardize on: Dell, Supermicro, AIC, and any roadmap-certified server vendor.
Dell
Supermicro
AIC

What this enables

  • Pick the storage infrastructure you trust for each region.
  • Source storage nodes from multiple hardware providers without rearchitecting VDURA.
  • Scale supply faster because procurement teams already have contracts with Dell, Supermicro, AIC, and more.
Guaranteed reliability SLAs, seamless expansion, and security close the loop on scaling storage, securing tenants, and keeping storage simple.

NEOCLOUD PLAYBOOK ALIGNMENT

VDURA capabilities map to the AI Neocloud playbook.

The market expects GPU clouds to ship hardware quickly, expose enterprise-grade services, and automate everything. VDURA’s data platform checks each box.

Supply chain velocity

Software-defined architecture plus Dell, Supermicro, AIC, and other qualified platforms mean you can land capacity in any colocation the playbook recommends.
  • Parallel file system stretches across flash nodes in multiple availability zones.
  • Global namespace simplifies logistics for regional GPU launches.
  • Thin provisioning and smart tiering keep upfront capex low.

Enterprise trust

Infrastructure leaders selling GPU services must match enterprise storage expectations.
  • Always-on encryption, multi-level erasure coding, and QoS isolation.
  • File and object protocols in one control plane for RAG, training, and backup.
  • Sense telemetry feeds compliance dashboards and customer SLAs.

Automation + APIs

Neocloud operators automate everything from tenant sign-up to GPU scheduling. VDURA keeps pace.
  • Terraform, Ansible, and Crossplane providers integrate with your marketplace control plane.
  • REST APIs for tenant provisioning, quotas, and billing.
  • GitOps-friendly config so storage rolls out like the rest of your platform.

MULTI-TENANCY

PanFS isolation plus roadmap-driven control.

Tenant volumes are isolated by VLAN and/or IP address, each with its own namespace, QoS, and capacity guarantees. Storage sets host multiple VPODs so you share hardware while maintaining performance guarantees.
  • Tenant dashboard and CLI for provider and tenant volume management.
  • Physical isolation by allocating storage sets and volumes per tenant.
  • QoS carved per slice so noisy neighbors cannot steal IO.

VDURA multi-tenancy roadmap

  1. Volume multi-tenancy: K8s CSI, tenant admin CLI, provider tenant create/destroy.
  2. Network phase one: Isolation of volumes to network partitions and VLANs.
  3. Realm and tenant API: REST API replaces existing realm admin backend so CLI and GUI share governance.
  4. Full control path: Platform admin CLI plus SDN support expose end-to-end automation.
  5. QoS expansion: Fine grained controls for future tenants.

NEOCLOUD VS STATUS QUO

Checkpoint-ready tiering without the all-flash tax.

The Checkpoint architecture proves how VDURA’s flash nodes plus hybrid data storage nodes migrate data in stride with training and inference. No separate object store, no throttled S3 pipe, and no sleepless nights balancing SSD overflow.

Parallel flash-node ingest

Multiple flash nodes run in parallel so checkpoint and inference data moves while GPUs are still training or responding.
  • Migration bandwidth scales with capacity, not a single pipe
  • Hot checkpoints stay on flash nodes without overbuilding SSD fleets
  • Ingest + tiering share the same namespace for zero copy

Unified namespace + APIs

VDURA exposes file and object through one control plane, so GPUs never wait on an external S3 bucket.
  • Consistent metadata ops for inference + training
  • Terraform, Crossplane, GitOps ready for marketplace automation
  • Checkpoint blueprints you can templatize per renter

Hybrid economics

Flash where you need it, HDD where you can tier it. That’s how VDURA lowers cost without trading performance.
  • Tiering intelligence keeps SSD layers clean automatically
  • Policy-driven placement respects carbon and sovereign targets
  • Every renter sees predictable costs instead of surprise overages

CLUSTER UPTIME = FACTORY YIELD

Every second of downtime is lost production.

  • Sustained performance comes from resilience, not peak speed.
  • Network plus multi-level erasure coding keep GPUs running through failures.
  • Mature software recovers automatically which keeps your marketplace SLAs intact.
AI factories depend on infrastructure that never stops the line. VDURA delivers availability and durability metrics you can show to enterprise buyers.

Factory stop prevention

Storage reliability metrics are critical to an AI factory. VDURA ensures:
  • Predictable yield across regions
  • Automatic remediation for hardware faults
  • Continuous evidence for compliance reviews

MAXIMIZING FACTORY YIELD

Performance, efficiency, and operational reliability.

  • Maximize GPU utilization.
  • More than forty percent flash efficiency.
  • Up to sixty percent lower acquisition cost.
  • Zero unplanned downtime.
  • Adaptability with online scalability.
  • More intelligence per dollar.

Unified data plane

Parallel file system and bulk data store share a single control plane so you can manage high-performance and object workloads in one view.

MAXIMIZING FACTORY YIELD

Design your Neocloud data storage fabric.

Meet with VDURA architects to compress launch timelines, align GPU rental SKUs, and map the day-two playbook your operators will run.
  • Align flash and hybrid tiers to your Neocloud reference architecture.
  • Map time-to-market, operational readiness, and cost posture goals.
  • Walk through how VDURA accelerates tenant onboarding and retention.

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Accelerate your Neocloud data platform.

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