The GPU comes to your notebook
One click and a real JupyterLab opens in your browser, with its kernel running on a peer’s card. torch.cuda.is_available() is true, %pip install works, and %tangible upload brings your data in. Billed by the minute.
Tangible · the GPU comes to you
Don’t move to the GPU.
Bring the GPU to you.
Every GPU cloud makes you upload your work into their box. Tangible attaches a peer’s idle GPU to the notebook you already have — one click, runs in your browser. Paid in cash. No wallet, no crypto.
Get early access
Free to install · Paid in cash · Your data is wiped when you’re done
1click
the GPU comes to your notebook — no migration, no re-upload
20hrs
a day the average gaming GPU sits doing nothing
2
ways to use it: run a notebook, or send a render
The problem
GPU compute is expensive and clumsy. Real GPUs sit idle everywhere.
Training a model, running inference, or rendering a scene means renting a cloud box, uploading everything into their notebook, and paying by the hour. Meanwhile powerful NVIDIA GPUs sit idle in gaming rigs and workstations most of the day.
- Every GPU cloud makes you move your work into their notebook. Tangible brings the GPU to the notebook you already have.
- Cloud GPUs are priced for data centres. A freelancer or student waits or pays hundreds.
- Rendering or training on your own machine locks it up, so you can’t work while it runs.
- The power to fix this already exists — it’s just sitting idle in other people’s PCs.
What is Tangible
One app. Run a notebook, send a render, or share your GPU.
Install Tangible once. Attach a peer’s GPU to your own notebook, fan a render out across idle cards, or flip a switch and earn from your card while you’re away.
If you need a GPU — notebooks
If you need a GPU — render
Send a render, get the file back
Drop a Blender project. We read the frames straight from the file, split them across matched idle GPUs so they render in parallel, and land the finished sequence back in your downloads — no farm to set up, no machine tied up.
If you have a GPU
Earn while you’re away
Flip a switch and Tangible rents your card out while you’re not using it. Someone else’s job runs sealed off in the background and pays you in cash. The moment you need your PC, it stops — your work always comes first.
Every job, both sides
Sandboxed and wiped
Rented jobs run in an isolated sandbox with a RAM-only workspace that’s destroyed when the session ends. Nothing is written to the host’s disk, and no copy of your data is left behind.
Paid in real money. No wallet, no crypto, no tokens.
You get paid to your bank, and you pay with a normal card — the same way everything else online works.
How a render works
You press go. A peer’s GPU does the work. You get the result.
Three steps — whether it’s a notebook or a render — and Tangible manages the middle one so neither side touches a terminal.
You startStep 1
Open a notebook, or drop a Blender project and see the exact price and finish time. Then press go.
- Know the cost before you commit
- No subscription, no minimum
- Pay only for what you use
Tangible matchesStep 2
We find an idle GPU that fits, bring it to your tools, and run the job sealed off in a sandbox — the seller does nothing.
- Matched to a real GPU that fits
- Runs isolated, in a RAM-only workspace
- Renders split across cards to finish faster
You get the resultStep 3
Your notebook runs live in the browser, or the finished render lands in your downloads. The GPU’s owner gets paid in cash.
- Delivered to your machine
- Owner paid automatically
- Your data wiped when the session ends
Every job runs sealed off on the other person’s machine. They never see your files, and the job can’t touch anything else on their computer.
When no GPU fits, we tell you plainly — no fake results, no surprise cloud bill.
Where it fits
Real work, on a peer’s GPU.
The GPU comes to the tools you already use — across notebooks, render, research, and idle cards earning their keep.
AI / ML & students
Run a Jupyter notebook on a real CUDA GPU with zero setup, billed by the minute.
PyTorchJupyterJAX
3D & rendering
Drop a Blender scene; frames fan out across idle GPUs and land back in your downloads.
BlenderEEVEECycles
Science & research
Training, inference or simulation in Python — no HPC queue, no $50k box.
CUDANumPyRAPIDS
Earn from your GPU
Rent your idle card out while you’re away. Sandboxed jobs, paid in cash.
NVIDIAAMD
Your data
The host never keeps your data.
We assume the machine owner is a stranger. Every job is built so they can’t read, keep, or tamper with your work — by construction, not by promise.
Sandboxed & isolated
Your kernel runs in a locked sandbox with no access to the host’s files or network. The job can’t touch their machine, and they can’t reach into yours.
RAM-only, wiped on exit
Your files live in a memory-backed workspace, never written to their disk, and destroyed the moment the session ends. No copy is left behind.
Honest by default
See the price before you commit, billed by the minute. When no GPU fits, we say so — no fake results, no surprise cloud bill, no crypto.
Not a mockup
It works today.
A preview build is live. These aren’t promises — they’re what the app does right now.
notebooks
torch.cuda.is_available() returns true on a real peer GPU, in your own browser.
render
A Blender scene split across GPUs, rendered in parallel, merged back to a finished sequence.
privacy
Buyer data runs in a RAM-only sandbox and is wiped on session end.
Why Tangible
Built for people, not data centres.
The GPU comes to the tools you already use, your data never has to be trusted to the host, and the price is honest.
Your tools, someone’s GPU
Every other GPU cloud makes you move your work into their notebook. Tangible does the opposite — the GPU attaches to the Jupyter, VS Code or Blender you already run.
Your data, never left behind
Jobs run in a sandbox with a RAM-only workspace, wiped the moment the session ends. Nothing is written to the host’s disk. New pip installs stay isolated too.
Real money, honest price
See the cost before you commit, billed by the minute. Earn to your bank, pay with a card. No wallets, no tokens, no crypto — and no fake results when no GPU is free.
The GPUs already exist. Nobody had connected them to your notebook.
Tangible is the missing link between someone with an idle card and someone with real work to run.
For GPU owners
Your graphics card can pay for itself.
That expensive GPU you bought for gaming or work sits idle most of the day. Tangible puts it to work while you’re asleep, at your desk job, or just away, and pays you for it.
Free to install
Sharing side never costs anything. Turn it on, and Tangible only runs jobs when your GPU would otherwise be idle.
You’re in control
Set the price you’ll accept and pause any time. The instant you need your PC, Tangible steps aside, and your work always comes first.
Nothing to worry about
Every job runs walled off from the rest of your computer. It can render, and that’s all. It can’t reach your files or anything else.
Earnings calculator
See what your setup could make.
Pick your card, how many you run, and how long they sit idle. Rates are based on what people already earn renting GPUs on similar networks today.
1
12 hrs
Typical
Estimated earning
1.5× early-bird
$0/mo
Normally $0 · you keep the extra as an early joiner
Likely range $0 to $0 a month
Per GPU$0/mo
Rate while running$0/hr
Active hours a month0 hrs
This is an estimate, not a promise. Real earnings depend on how much render work is on the network, your uptime, electricity, and your card. AMD cards earn less because most render jobs prefer NVIDIA. The 1.5× early-bird bonus applies to the first 1,000 GPUs on the network, for their first three months. You always set your own floor price, and you never pay to share.
Join the waitlist
Try the preview.
Whether you want to earn from an idle GPU or get your renders done, drop your email and we’ll hold your spot.
- Free to join, takes ten seconds
- The earning figure is a rough estimate, not a promise
- No spam, just one email when it goes live
▶ You’re on the list.
We’ll email the moment earning goes live. You’re early.