Vloxt
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Cloud servers for builders and growing teams

Infrastructure you can
actually operate.

Run the website, API, database, development environment, or accelerated workload—and keep its controls, billing, recovery paths, and support in one protected client area.

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Representative interfaceapi-production-01
  1. 01
    WorkloadDefined

    Production API · sustained requests

  2. 02
    ConfigurationSelected

    Dedicated CPU · Linux · nearby region

  3. 03
    InvoiceSettled

    Fixed monthly total recorded before deploy

  4. 04
    ServiceActive

    Provisioning reconciled to one running service

  5. 05
    RecoveryReady

    Console, rescue, backup, and rebuild paths

A representative Vloxt lifecycle—not live account data. Each stage remains distinct so payment, provisioning, and service state cannot obscure one another.
4 compute modelsLinux image choiceBuilt-in service controlsLinked ticket support

One workload, observable end to end

The deploy button is the middle of the story.

A production API moves through separate decisions and states: workload fit, configuration, a fixed invoice, settled payment, repeat-safe provisioning, an active service, and a tested recovery path. Vloxt keeps those boundaries visible so the next safe action remains clear.

Before deployment
Know the compute model, location, installation choice, monthly total, and qualification requirements.
While provisioning
See whether work is queued, processing, waiting for reconciliation, or needs intervention.
After activation
Manage supported service actions, credentials, usage, add-ons, cancellation, and linked support without collapsing billing into service state.

A product family for each operating shape

Use the machine the workload can justify.

Start flexible, reserve predictable compute when it matters, add acceleration for work that can use it, or choose physical isolation for intensive systems.

Shared CPU

Websites, development, APIs, and steady general workloads.

A practical starting point when dedicated compute is not required.Compare options

Dedicated CPU

Databases, sustained processing, and latency-sensitive services.

Consistent CPU allocation for workloads that need predictable compute.Compare options

Cloud GPU

Inference, rendering, and accelerated compute.

GPU shapes where active catalogue and location capacity are verified.Compare options

Bare metal

Isolation, high sustained load, and hardware-level control.

Dedicated physical systems for workloads that should not share a host.Compare options

Built around real work

From first deploy to serious workload.

See how compute choice changes for websites, APIs, development environments, databases, and AI inference.

Explore use cases
Web hostingResponsive sites and growing content platformsAPI hostingStable endpoints near users and dataDatabasesPredictable compute and deliberate memoryAI inferenceAccelerated compute matched to software

Location shapes experience

Keep the workload close to what it talks to.

Put latency-sensitive services near their users, databases, or connected systems. Then check data-placement needs and choose an eligible location for the server family.

Plan the location

From idea to operating service

Choose with context. Operate with clarity.

  1. 01

    Define the workload

    Start with sustained compute, memory, storage, latency, and recovery needs.

  2. 02

    Match the server family

    Choose shared, dedicated, GPU, or bare-metal compute for the way the application behaves.

  3. 03

    Deploy with the bill visible

    Confirm the location, current availability, and monthly invoice before provisioning.

  4. 04

    Operate from one account

    Use the client area for service actions, billing, credentials, add-ons, and support.

After deployment

The server stays manageable.

Eligible actions appear in the client area for the selected server family.

  • Power and reboot controls
  • Reinstall and operating-system change
  • Recovery console and credentials
  • Reverse DNS and SSH keys
  • Usage graphs, backups, and cancellation

Applications installed on your server are managed by you. Vloxt tickets cover server and platform issues.

Vloxt field guides

Answers for the decisions around the server.

Learn how to choose compute, place a workload, compare CPU allocation, and build a recovery path before those choices become expensive.

Browse all guides
SelectionHow to choose a cloud server for a real workloadComputeShared CPU vs Dedicated CPURecoveryBackups are not a recovery plan until restore is tested

Common questions

Know before you deploy.

What can I run on a Vloxt server?

Vloxt servers can support websites, APIs, development environments, self-managed databases, rendering, inference, and other compatible Linux workloads. The right family depends on compute, memory, storage, acceleration, and isolation needs.

Which server family should I choose?

Choose Shared CPU for general and variable workloads, Dedicated CPU for sustained or latency-sensitive compute, GPU for supported accelerated work, and Bare Metal when physical isolation or intensive hardware use matters.

What can I manage in the client area?

Eligible controls include power actions, reinstall, operating-system change, recovery console, credentials, reverse DNS, SSH keys, usage, add-ons, cancellation, billing, and support.

How does monthly billing work?

Vloxt servers are billed monthly in advance in USD. The invoice shows the service charge and applicable tax before payment.

Bring the workload

Choose the server that earns its place in your stack.

Start from the job it needs to do, compare the suitable compute families, and deploy with the operating path already visible.

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