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GPU server marketplace · for people who own the hardware

List the GPU you own. Earn every month. Stay in control.

This is the selling side of the trade. You already have the card and the machine; the marketplace connects them to AI teams, studios and engineers who need GPU access, and handles verification, listing and demand routing while you set the price and the availability. Looking to rent a GPU server from us instead? That is GPU dedicated servers, and it is a different page.

Submit → verify → publish Simple monthly billing Monitoring & isolation
List your GPU See what other hosts are asking
Performance benchmarking before every listing You control pricing and availability windows Your tenants come 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 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 the monthly asking price you configure.
  5. Earn: renters are provisioned on demand and pay your monthly asking price.

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.

List your GPU from your dashboard

Everything happens in your Primcast dashboard — install the lightweight agent, register your machine with a one-time code, and publish your listing once it passes verification. Set a monthly asking price and stay in full control.

Three steps, all in the dashboard

  1. Install the agent on your GPU host using the one-line command shown on your dashboard.
  2. Register & generate a code to securely link the machine to your account.
  3. Publish: set your monthly asking price and go live after verification.
Open dashboard → List a GPU

Why list from the dashboard

  • Full control

    Update pricing, availability, and specs whenever you want.

  • Live status

    Track verification, active rentals, and payouts in one place.

  • Secure linking

    Agent plus a one-time code — no need to hand over standing SSH credentials.

  • Instant edits

    Pause, relist, or reprice without contacting support.

The shelf your listing joins

Before you set an asking price, it is worth seeing what the machine next to yours is asking. These are the listings already live, and the Primcast machines sitting on the same shelf.

What Primcast itself lists

Our own machines, on the same shelf and priced the same way — the figures a host is pricing against.
Instant servers is where these are ordered, and GPU dedicated servers prices every card we fit.

Listed by their owners, right now

Every machine here belongs to somebody who listed it, at the monthly figure that person set. Filter it the way a prospective tenant will, and you can see where your own listing would land.

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Earnings estimator

Project your monthly payout based on your asking price.

Estimated monthly payout $

What drives higher earnings

  • Competitive pricing

    A well-priced listing rents out faster and stays rented longer.

  • 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.

Required runtime stack

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

Ubuntu 26.04 OS
CUDA 13.x Driver
Docker Container
Nvidia Container Toolkit Runtime
Python Language
PyTorch ML Framework
TensorFlow ML Framework

Frequently asked questions

What a host needs to know before listing a machine, including how the tenants get into it.

How are hosts paid?

Revenue is the monthly asking price you configure for your listing, minus the platform fee. Your control panel shows rental status 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 SSH or IPMI — 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.

Have a GPU sitting idle?

List it, set the monthly figure you want for it, and keep the machine. Verification is ours; the price and the availability stay yours.

List your GPU

Came here to rent GPU compute rather than let it? That is the other direction of this trade: GPU dedicated servers prices every card we fit, and instant servers is what is racked right now.

Own an NVIDIA DGX Spark, an ASUS Ascent GX10 or a ZGX nano? Those have their own page, because an arm64 GB10 box lists on different terms from a card in a chassis: rent out a GB10 machine you own. To rent one from us instead, that is the DGX Spark dedicated server.