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Who GPUPlane is built for

Deep-dive by audience—what changes when you run shared GPUs with slots, packages, and policy on your own servers.

Hosting providers

Turn GPUs into a safe shared service you can sell.

  • Offer GPU access alongside shared hosting or VPS.
  • Integrate with DirectAdmin, cPanel, or custom panels.
  • Define per-customer packages, quotas, and limits.
  • Protect against abuse and noisy neighbors on shared servers.

AI and ML teams

Fair access for training, notebooks, and inference.

  • Slot-based scheduling so experiments do not collide.
  • GPU minutes tracked per project, user, or team.
  • Jupyter sessions plus batch training and inference jobs.
  • Separate policies for development, staging, and production.

Universities and labs

Slots and quotas for students, faculty, and research groups.

  • Time-based slots instead of manual reservation lists.
  • Student and faculty quotas with clear visibility.
  • Usage reports to support grants and lab funding.
  • Safe templates for AI, HPC, and rendering workloads.

Enterprises

Govern internal AI and compute platforms.

  • Governance, approvals, and audit-friendly GPU usage.
  • Hybrid model using on-prem GPUs and cloud bursting.
  • Multi-tenant isolation across departments and business units.
  • Path to internal or external GPU marketplaces when you are ready.

From one server to a full platform

Start small, then grow capacity and reach without changing your control plane.

1

One GPU server

Install the agent and share safely with slots.

2

Many nodes

Scale inventory across your own fleet.

3

Cloud burst

Selectively extend into cloud GPUs when needed.

4

Marketplace path

Publish capacity when you are ready to monetize further.

See GPUPlane for your use case

Create a tenant now, or tell us about your environment and we will follow up.

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