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Rent my GPU server

GPU server marketplace: rent your GPU, get paid hourly, keep full control.

The Primcast GPU server marketplace allows you list your GPU configuration so AI builders can rent it by the hour. We verify performance, publish your listing, route demand to your machine, and help you turn idle compute into revenue.

Submit → test → publish Track usage & earnings Isolation & monitoring
List your GPU See available GPU configs
Automated verification & health checks Set availability & pricing Demand from AI, rendering, and inference buyers

How the GPU marketplace works

A clean, predictable flow: apply → verify → publish → earn. You stay in control of pricing, availability, and hardware access.

Host onboarding (step-by-step)

  1. Submit your GPU details and a management access method (SSH/VPN/IPMI, etc.).
  2. Verification run: driver health, VRAM, ECC (if applicable), PCIe, and stress tests.
  3. Performance check: sample workloads + network/storage throughput validation.
  4. Publish your listing with a trust badge (Verified) and your hourly price.
  5. Earn: renters are provisioned on demand; usage is metered hourly.

Initial launch: As community hosts submit machines, approved configs will appear here after testing.

What we test before listing

  • GPU

    Model, VRAM, clocks, thermals, persistence mode, and stability under load.

  • CPU & RAM

    Baseline performance and memory stability to avoid bottlenecks.

  • Storage

    Read/write throughput and IOPS checks for dataset-heavy workloads.

  • Network

    Latency + throughput; packet loss screening; geo and routing sanity checks.

Available instant GPU configurations

These are Primcast instant GPU offerings (live today).
Community-submitted GPUs will appear once verified.

Rent a GPU by the hour

On-demand H100, A100, RTX 4090 and more — verified hosts, transparent hourly pricing, no commitment.

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Earnings estimator

Estimate monthly revenue based on hourly price and utilization.

Estimated payout $

What drives higher earnings

  • Competitive pricing

    Small price improvements can increase utilization dramatically.

  • Availability

    Always-on listings win more long-running rentals.

  • Reliable I/O

    Fast NVMe and stable networking improve renter satisfaction.

  • Verified status

    Verified machines get preferred placement and higher conversion.

Required standard runtime stack

All submitted GPU configurations must have the following software pre-installed for verification and renter compatibility.

Ubuntu 22.04 OS
CUDA 12.x Driver
Docker Container
Nvidia Container Toolkit Runtime
Python Language
PyTorch ML Framework
TensorFlow ML Framework

Frequently asked questions

Everything you need to know to rent your GPU successfully and to help buyers trust your listing.

How do payouts work?

Payouts are based on metered hourly usage and your configured price, minus the marketplace fee. This page includes an estimator; your dashboard can show finalized earnings once live.

What if my GPU fails verification?

We'll share what failed (thermals, driver stability, I/O, etc.). You can remediate and re-test. Listings are published only after passing to protect marketplace quality.

What software stack is supported?

Common AI stacks are supported (CUDA, ROCm where applicable, containers/VMs). During verification we confirm driver/runtime compatibility and stable provisioning.

Do I need a datacenter server?

Not strictly – but reliable uptime, stable networking, and adequate cooling are required. Datacenter-grade hosts tend to see higher utilization and fewer interruptions.

How do renters access the machine?

Provisioning can be done through secure access methods (e.g., VPN + SSH) with isolation. Exact workflows depend on your chosen hosting method and marketplace integration.

How long until my GPU is listed?

After you submit the form, we schedule verification. If the system passes checks, it can be published quickly. Timing varies by workload queue and access readiness.