Idle GPUs,
rented and running in seconds.
JupyterLab & PyTorch on a consumer-GPU pool, instantly. Not a datacenter — a private beta running on personal PCs.
Private beta · reviewed, then invited → a trial credit, 60 min free · no spam
These GPUs are running right now
Not marketing — a pool that actually runs. Invited users rent from here.
※ The beta pool is a few personal PCs (at launch · RTX 4060 Ti·4070 SUPER). Rent directly from the dashboard once you're invited. Numbers above are a live control-plane snapshot.
See it actually run right now — try the free background-removal demo (no signup) →
Honest — the good and the limits.
Start instantly; if you're stuck, a human answers. And we don't hide what we can't do.
Instant once invited
Launch JupyterLab with no card. A trial credit = 60 min free; if you like it, from $0.30/hr (per GPU/VRAM), per-second billing.
Yields when the owner returns
When the provider hits a key, the workload pauses instantly (~1ms, process-internal). But if a node drops, the session restarts on another node — in-progress memory isn't preserved (not live migration).
Isolation, fully disclosed
Isolation is process-level — on a personal PC it isn't fully separated from the host (confidential computing needs H100-class hardware; unsupported). So don't upload sensitive data, personal info, or proprietary models. Fine for light inference, batch, and training experiments.
How it works
Idle most of the time, runs when needed, yields when the owner returns. A simple promise, executed precisely.
Share idle GPUs
Provider PCs lend their GPU to the network only while idle. Usage is settled and 70% goes back to the provider.
Process-isolated execution
Workloads run as a separate process. But on a personal PC it isn't fully isolated from the host, so don't upload sensitive data. See the isolation matrix →
Yields on owner return
When the provider uses keyboard/mouse, the workload pauses. Yield latency measured at ~1ms (process-internal, excluding network/scheduling).
Apply for the beta now
Once invited, get a trial credit for 60 min of free RTX GPU. To use more, from $0.30/hr.