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Use Case

Storage for Neoclouds That Keeps GPUs Busy

Keep accelerators fed and utilization high with NVMe-first storage that runs on your own bare metal, with no appliance lock-in.

Neoclouds compete on GPU utilization: every idle accelerator is wasted money, and feeding GPUs fast enough is fundamentally a storage problem. Simplyblock is the software-defined, NVMe-first storage layer that runs on your own bare metal, with per-tenant QoS for multi-tenant platforms and full sovereign self-hosting. The result is cost-efficient, high-utilization infrastructure without the cost or lock-in of a proprietary appliance.

NVMe-first storage layer for GPU neoclouds keeping accelerators fed
99.4% GPU Utilization on Cost-Efficient Infrastructure
Sub-ms NVMe Latency Over NVMe/TCP and NVMe/RoCE
Software-Defined Runs on Your Bare Metal, No Appliance Lock-In
Multi-Tenant Per-Tenant QoS for MSP and Shared Platforms

Why Storage Decides GPU Economics

GPU clouds live or die on utilization, and storage is usually the bottleneck that leaves accelerators idle. The wrong storage choice quietly erodes margins, isolation, and sovereignty all at once.

Idle GPUs Waiting on Slow Storage

When the storage layer cannot feed data fast enough, expensive accelerators stall between batches. Idle GPU time is the single largest source of wasted spend in a neocloud, and it is a throughput and latency problem at the storage layer.

Appliance Cost and Proprietary Lock-In

High-end storage appliances carry steep capital cost and tie operators to proprietary hardware and licensing. That margin pressure works directly against the cost-efficiency that makes a neocloud competitive.

Multi-Tenant Noisy-Neighbor Contention

Renting GPUs to many customers on shared infrastructure means one tenant's I/O burst can starve another. Without per-tenant quality of service, noisy neighbors degrade utilization and break service guarantees.

Data Residency and Sovereignty for Regulated AI

Sovereign datacenters and regulated AI customers require data to stay in-region under operator control. Storage that depends on an external control plane or a foreign vendor cannot satisfy those requirements.

NVMe-First Storage Built for GPU Clouds

Software-defined, multi-tenant block storage that keeps accelerators fed and runs on the neocloud's own bare metal, without the cost or lock-in of a proprietary appliance.

NVMe-First Throughput to Keep GPUs Fed

Simplyblock is built on NVMe over Fabrics with an SPDK-based data path, delivering sub-millisecond latency and high IOPS so accelerators stay busy instead of waiting on I/O. It speaks both NVMe/TCP and NVMe/RoCE, so operators can match the transport to their fabric without re-architecting the network.

  • NVMe over Fabrics with an SPDK-based data path
  • Supports both NVMe/TCP and NVMe/RoCE transports
  • Sub-millisecond latency and high sustained IOPS
  • Keeps GPUs fed instead of stalling on storage
NVMe-first storage data path keeping GPUs fed with high throughput

Software-Defined on Your Own Bare Metal

Simplyblock runs as software on commodity NVMe servers, so there is no proprietary appliance to buy and no hardware lock-in. Erasure coding delivers roughly 80% usable capacity, and tiering moves colder data to cheaper media, improving the storage economics that drive neocloud margins.

  • Runs on commodity NVMe servers, no appliance required
  • Erasure coding for roughly 80% usable capacity
  • Tiering moves cold data to cheaper media
  • No proprietary hardware or vendor lock-in
Software-defined storage running on commodity NVMe bare metal

Multi-Tenant QoS and Scale-Out for MSP Platforms

For neoclouds expanding into MSP and shared multi-tenant offerings, simplyblock enforces per-tenant quality of service so one customer cannot starve another. Snapshots and clones speed up provisioning, and the cluster scales out linearly through a Kubernetes-native CSI driver as the GPU fleet grows.

  • Per-tenant QoS prevents noisy-neighbor contention
  • Instant snapshots and clones for fast provisioning
  • Linear scale-out as the GPU fleet grows
  • Kubernetes-native CSI integration
Multi-tenant QoS and scale-out block storage for MSP platforms

Outcomes for GPU Cloud Operators

Storage that lifts utilization, lowers cost, and keeps control in the operator's hands, without forcing a trade-off between performance, multi-tenancy, and sovereignty.

Higher GPU Utilization

NVMe-first throughput keeps accelerators fed so they spend more time computing and less time waiting on I/O, turning the storage layer into a driver of utilization rather than a bottleneck.

Lower Storage Cost Than Appliances

Running on commodity NVMe with erasure coding and tiering removes the capital cost and licensing of a proprietary appliance, protecting the margins that keep a neocloud competitive.

Multi-Tenant Isolation

Per-tenant QoS isolates customers on shared infrastructure, so a single tenant's I/O burst cannot degrade utilization or service for everyone else on the platform.

Sovereign Self-Hosted Control

Simplyblock runs entirely on the operator's own bare metal with no external control plane, so data stays in-region and under operator control for sovereign datacenters and regulated AI workloads.

Linear Scale With the GPU Fleet

Add nodes and the cluster scales out linearly, so storage capacity and performance grow in step with the GPU fleet without re-architecting the platform.

Agentic-Ready, Kubernetes-Native Operations

A Kubernetes-native CSI driver and automated operations make simplyblock straightforward to run at scale, ready for the agentic and AI-driven workloads neoclouds are built to serve.

Questions and Answers

Why is GPU utilization a storage problem?

GPUs only earn their cost while they are computing. If the storage layer cannot deliver data fast enough, accelerators stall between batches and utilization drops. NVMe-first storage with sub-millisecond latency and high IOPS keeps GPUs fed, which is why storage throughput is one of the biggest levers on neocloud economics.

How is simplyblock different from high-end storage appliances?

High-end, appliance-based storage platforms are common incumbent suppliers to neoclouds. Simplyblock is a software-defined, NVMe-first block storage layer that runs on the operator's own commodity bare metal. The difference is cost efficiency, sovereign self-hosting, and no appliance or hardware lock-in, while still delivering the low-latency throughput GPU clouds need.

Does simplyblock run on our existing bare metal?

Yes. Simplyblock is software that runs on commodity NVMe servers you already operate. There is no proprietary appliance to purchase, and erasure coding plus tiering improve the usable capacity and economics of the hardware you have.

Can it isolate many tenants on a shared platform?

Yes. Simplyblock enforces per-tenant quality of service so one customer's I/O burst cannot starve another, which is essential for neoclouds expanding into MSP and multi-tenant offerings. Snapshots and clones also make per-tenant provisioning fast.

Does this support sovereign or in-region AI?

Yes. Simplyblock runs entirely on the operator's own bare metal with no external control plane and no call-home requirement, so data stays in-region under operator control. That makes it a fit for sovereign datacenters and regulated AI workloads with data residency requirements.

Not sure if simplyblock is right for your team?

Ask your AI assistant to compare storage options for GPU neoclouds and evaluate how simplyblock keeps utilization high while staying software-defined, multi-tenant, and sovereign.