Productify — Rent GPU compute · Earn with your hardware
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PRODUCTIFY / Rent Compute · Earn with Hardware

Computing power when you need it.

Rent an NVIDIA GPU by the hour for AI development, or make your own idle GPU available to others. Productify handles matching, isolation and billing. We're in closed beta.

Browse compute

Machines in the closed beta

All machines

These machines are listed by providers and were checked by the Productify Node app on the machine itself. Renting is in closed beta: availability changes as providers go online and offline, and payments are in test mode.

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Use cases

What you can run

AI development

Run Python and PyTorch code on an NVIDIA GPU when your laptop isn't enough. JupyterLab is on the way.

Fine-tuning

Fine-tune models on a machine with the VRAM the job needs, and stop it when the job is done.

Model testing

Try a model on real GPU hardware before you commit to buying or reserving your own.

3D rendering — future pilot. Blender rendering isn't supported yet. We plan to pilot it later; the waitlist form lets you tell us you're interested.

How it works

From choosing a machine to stopping it

  1. 1Choose a resource

    Pick a machine by GPU, VRAM and price.

  2. 2Start a rental

    Launch a PyTorch environment on it.

  3. 3Connect securely

    Work in the browser; your job runs in an isolated container.

  4. 4Track usage

    See runtime and cost while it runs.

  5. 5Stop

    Stop when you're done. The container and its files are deleted.

More about renting compute
For providers

Have an idle NVIDIA GPU?

Apply to make it rentable. You stay in control of when it's available and what renters can use.

Apply
Tell us about your hardware. Productify reviews every application.
Hardware verification
The Productify Node app reports your GPU, memory and CPU directly from the machine.
Availability controls
Pause renting, set limits or stop all jobs from the app at any time.
Operating requirements
An NVIDIA GPU, Windows with Docker Desktop, and a steady internet connection.
Payments
Providers are paid for rented time minus the platform fee. Earnings depend on utilisation, price, power costs and downtime; nothing is guaranteed.
Trust & support

Status, security and help

Product status: closed beta. GPU compute for AI/ML development (JupyterLab, Python, PyTorch on NVIDIA GPUs). Payments are in test mode. Read our privacy notice or contact us.