Earn with your GPU
Your GPU is idle between prompts.
If you already run Llama or Mistral locally, your card spends most of its life doing nothing. Point it at open AI tasks and it earns the network's token — the same token that pays for your own inference. Below: how it works, an honest comparison against renting your GPU out, and why we will not quote you a daily figure.
Can I earn crypto with my GPU?
You can, and it no longer means hashing. The GPU mining that defined the last cycle is largely gone — Ethereum moved to proof of stake and took the consumer market with it. What replaced the demand is inference: models that need to run somewhere, on cards that mostly already exist in people's desktops.
The relevant detail is how little of that hardware is doing anything. A local model answers a prompt in seconds and then the card returns to idle until you type again. Measured across a day, a GPU used for personal inference is close to entirely unused, and it draws power to sit there.
A Tenseuron miner fills that gap. It polls a network for open tasks, runs them through the model you already have configured, and submits the output. Validators score it, and accepted work pays out on-chain to your wallet. No stake is required to register, so nothing has to be bought before anything can be earned.
How much can I earn?
Every competing page answers this with a number. We are not going to, and the reason is worth more to you than the number would be.
A daily earnings figure is the product of three things that all move independently: the reward a network has configured per task, how many tasks that network is actually issuing, and how many miners are competing to claim them. Quoting a headline figure means fixing all three at their most flattering and presenting the result as typical.
The networks on Tenseuron are early. Task flow is uneven, there are quiet stretches where your miner will find nothing to claim, and any number we published today would be a bad predictor of next week.
What we can tell you precisely is the mechanism: accepted tasks pay the network's token to your wallet, at the rate that network has configured, with no stake required to begin. What that compounds to depends on demand we do not control and will not pretend to forecast.
What am I actually earning?
This is where Tenseuron differs from every GPU-earning platform you will find next to it in search results, and the difference is structural rather than promotional.
On a rental marketplace or a compute-sharing app, you earn a payout — a token or a balance whose only purpose is to be withdrawn and sold. Your earnings and your own AI usage are unrelated; if you also happen to buy inference, you buy it separately, with money.
Here they are the same asset. Miners are paid in the network's token, and usage of that network is funded by locking that same token. So serving tasks does not generate a payout you convert — it generates credit against your own inference.
Serve tasks with your idle GPU → get paid in the network token → lock what you earned → call the API with it. No money enters the loop at any point.
The practical version: if you are a developer who both owns a GPU and pays an AI bill, those two facts stop being separate. The card that was idle covers the bill that was growing. If you own a GPU but have no AI bill to offset, this framing does nothing for you — and rental is the better tool.
How is this different from renting my GPU out?
Rental marketplaces are the obvious alternative and they are good at what they do. The comparison below is written to be useful rather than flattering — there is a column where they win outright:
| GPU rental marketplaces | Tenseuron mining | |
|---|---|---|
| Earnings today | Higher, and predictable | Lower and uneven — networks are early |
| What you earn | A payout you withdraw or sell | The token that funds your own usage |
| Offsets your AI bill | No — unrelated to your spend | Directly — same asset |
| Machine access | Renter gets your hardware | Task in, output out — no shell access |
| Setup | Host config, uptime expectations | One CLI command, no stake |
Read the first row honestly: if maximising this month's earnings is the goal, rent your card out. Tenseuron is the better choice when you are also an AI consumer — because that is the only case where earning the usage token beats earning a payout.
How do I start mining?
Four steps, and the only prerequisite is a model you can already run and a Solana wallet:
- 1
Install the CLI
One command: npx @tenseuronp/cli setup. No stake is required to register as a miner.
- 2
Point it at a model you already run
Ollama, LM Studio, or any OpenAI-compatible endpoint. If the model runs locally there is no API bill on your side — the inputs are hardware and electricity you already own.
- 3
Serve tasks
The miner polls for open work, runs it through your model, and submits the output for validation.
- 4
Lock what you earned, or hold it
Accepted work pays out in the network's token — the same token that funds usage on that network. Lock it to call the API without spending anything, or keep it.
npx @tenseuronp/cli setup
Your provider key, if you use one instead of a local model, never leaves your machine. See the supported models for what can serve tasks today.
Where it falls short
Four trade-offs worth knowing before you install anything. If any is a dealbreaker, rental is the honest alternative:
- Task volume is uneven. Networks are early. There are quiet stretches where your miner polls and finds nothing to claim, and your card goes back to idle. This is the single biggest limitation today.
- You are paid in a network token. Not dollars. Its price moves, and what you earned is worth what that token is worth. That is the trade for the closed loop — the same property that lets it fund your usage means it is not a stable payout.
- You do not choose your tasks. Work is assigned from the open pool. A miner running a model too weak for what it receives will fail validation and earn nothing for the electricity it spent.
- A wallet is required. Earnings settle on-chain to a Solana address, so there is no bank-transfer path and no custodial balance to withdraw from.
Frequently asked questions
Can I earn crypto with my GPU?
Yes — by running AI tasks rather than by hashing. You install the Tenseuron CLI, point it at a model you already run locally through Ollama or LM Studio, and it polls for open tasks on a network. When validators accept your output, the network's token transfers to your Solana wallet. There is no stake required to start and no hardware to buy if you already run local models.
How much can I earn per day?
We do not publish a figure, and you should be suspicious of the ones that are published elsewhere. Payout depends on the network's configured reward, how many tasks that network is actually issuing, and how many miners are competing for them — all three move. The networks on Tenseuron are early, so task volume is uneven and there are quiet stretches. If a guaranteed daily number is what you need, a GPU rental marketplace is the more honest fit and we say so below.
How is this different from renting my GPU on Vast.ai or Salad?
Rental marketplaces pay you more per hour today, in a payout token or in dollars you then withdraw. The difference is what the earnings are for. On Tenseuron the token you earn is the same token that funds usage on that network — so instead of earning a payout you sell, you are earning credit against your own inference bill. If you do not intend to use AI yourself, rental is the better deal and we would rather say that than pretend otherwise.
If I already run models locally, what do I gain from the credit?
Parallelism and availability. Your card serves one request at a time, so a large batch is a long wait no matter how good the GPU is. Credit earned overnight can be spent as a burst across many miners at once, turning days of serial work into minutes. The network also keeps running while your machine is asleep, gaming or rebooting, and credit earned with a model your hardware can host will buy results from miners running models it could not load.
What hardware do I need?
Whatever already runs your local model. A consumer GPU with enough VRAM for the model you serve is the practical floor — the same card that runs Llama or Mistral in Ollama at a usable speed will serve tasks. There is no minimum stake and no specialised rig. You can also mine using a hosted provider key instead of local hardware, though that reintroduces a bill on your side.
Do I need to buy tokens before I can mine?
No. Registering as a miner on a network requires no stake, so you can start serving tasks and earning without acquiring anything first. Locking tokens is what funds usage when you want to consume inference — it is not a precondition for supplying it.
What happens if my output is wrong?
Validators score submissions and consensus filters weak answers, so a bad result is not accepted and not paid. This is also the mechanism that makes the network usable for buyers, which is why it exists — but it does mean a miner running an underpowered model on tasks it cannot handle will do work that earns nothing.
What are the catches?
Task volume is the main one: networks are early and the flow of work is uneven, so your GPU will sit idle during quiet periods. You also cannot choose which tasks you get, earnings arrive in a network token whose price moves rather than in dollars, and you need a Solana wallet. None of these are fatal, but all of them are real.
Put the idle card to work
One command, no stake, and the model you already run. If you also pay an AI bill, the other side of this loop is worth reading first.