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GPU server marketplace

List your GPU server. Earn by the hour. Stay in control.

The Server Room GPU marketplace connects your idle compute with AI teams, studios, and engineers who need on-demand GPU access. We handle verification, listing, and demand routing while you set pricing and availability.

Submit → verify → publish Hourly metered billing Monitoring & isolation
List your GPU Browse available GPUs
Performance benchmarking before every listing You control pricing and availability windows Buyers from AI, inference, rendering and media

How the marketplace works

A straightforward pipeline from submission to revenue: apply, verify, publish, earn. You retain control over your hardware at every stage.

Host onboarding

  1. Submit your GPU specifications along with a management access method (SSH, VPN, or IPMI).
  2. Verification: we run driver health checks, VRAM validation, ECC status, PCIe lane checks, and thermal stress tests.
  3. Performance: sample inference and training workloads plus network and storage throughput benchmarks.
  4. Publish: your listing goes live with a Verified badge and your chosen hourly rate.
  5. Earn: renters are provisioned on demand and usage is metered hourly.

As community hosts submit machines, approved configurations will appear here after testing and verification.

Verification checklist

  • GPU

    Model identification, VRAM capacity, clock speeds, thermals, persistence mode, and load stability.

  • CPU & RAM

    Baseline compute and memory throughput to rule out bottlenecks.

  • Storage

    Sequential and random read/write speeds plus IOPS for dataset-intensive workloads.

  • Network

    Latency, throughput, packet-loss screening, and routing verification.

Available instant GPU configurations

Server Room instant GPU offerings available today.
Community-hosted GPUs will appear once they pass verification.

Earnings estimator

Project your monthly revenue based on hourly rate and uptime.

Estimated payout $

What drives higher earnings

  • Competitive pricing

    Even small rate adjustments can significantly boost utilization.

  • Consistent availability

    Always-on listings attract more long-running rental contracts.

  • Fast I/O

    NVMe storage and stable networking improve renter retention.

  • Verified badge

    Verified machines receive priority placement and higher conversion rates.

List Your GPU on Server Room

Four quick steps — submit, verify, publish, earn.

Tell us who you are

We use this to send you your listing confirmation and payout details once your GPU passes verification.

Describe your GPU

GPU model, VRAM, and region are the main signals buyers filter by. The rest helps our benchmark engine configure the right tests.

GPU
Hardware optional but recommended

Grant temporary access

We need SSH or IPMI access for a one-time benchmark run. Credentials are encrypted, used once, then deleted.

Connection
Credentials Encrypted & deleted after use

Ready to submit

Review your details below. Once submitted, our team will run automated benchmarks and contact you within 24–48 hours.

1We benchmark your GPU within 24 h
→
2We publish your listing publicly
→
3Renters pay you hourly

Required runtime stack

All GPU submissions must have the following software pre-installed before verification and renter provisioning.

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 hosts and renters need to know about the GPU server marketplace.

How are hosts paid?

Revenue is based on hourly metered usage multiplied by the rate you set, minus the platform fee. Your control panel shows real-time usage stats and consolidated payout history.

What happens if verification fails?

You receive a full breakdown of every failed check — thermal limits, driver errors, storage throughput, or network issues. Fix the flagged items and resubmit; there is no limit on retries.

Which software environments are compatible?

We support mainstream AI and compute stacks: CUDA, ROCm where applicable, Docker containers, and VM-based isolation. Driver and runtime compatibility is confirmed as part of the verification process.

Is datacenter-grade hardware required?

It is not mandatory, however stable uptime, adequate cooling, and reliable connectivity are non-negotiable. Hosts running from professional facilities generally see higher occupancy and fewer disruptions.

How are renters given access?

Each rental session is provisioned over secure channels — typically VPN plus SSH — with workload-level isolation. Access details depend on the hosting method you configure during onboarding.

How long before my listing goes live?

Once you submit, our team schedules a verification run. Machines that clear every check are published shortly after. Total turnaround depends on queue depth and how quickly access is provided.