$GPUFARM IS LIVE
GPUFarm
New compute job

Configure a job

Pick a workload, set requirements and a price cap — the estimate updates live from the network's real capacity as you edit.

1

Workload

Start from a template with a real public image, then make it yours.

Writes /output/result.txt = hex of h(iterations), h0 = sha256 of every input (sorted by mount name).

Shown on your dashboard and receipts.

2

Container

A public image and its argv. The sandbox has no host access, no privileged mode and no network unless you allow it below.

Pin a tag (or a sha256 digest). Unpinned :latest images may be held for policy review.

One argument per line, run as the container's full argv: the first line is the executable and replaces the image's ENTRYPOINT (and CMD); no shell, so use sh / -c / … for pipes or variables. Leave empty to run the image's own ENTRYPOINT/CMD.

3

GPU requirements

V1 runs every GPU of a job on one physical machine. Counts are live, schedulable GPUs.

GPU models
Any compatible model
Consumer
Workstation
Data center
4

Runtime & price

The job is stopped at the max runtime. You pay billable GPU-seconds at the matched host's rate, never above your cap.

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No compatible capacity priced right now — your cap decides what the job can match later.

5

Inputs

Uploaded straight to private storage with a signed URL scoped to you. Hosts get short-lived read links for this job's inputs only.

6

Network & outputs

Default: no outbound network. Workloads can never reach the host's LAN.

GB

The host uploads these paths as one tar bundle; the server re-hashes it.

7

Payment

The escrow on Robinhood Chain holds the max charge; unused funds are refunded.

Coarse regions only — a ranking hint for the scheduler, not a hard requirement.

Platform fee 2.5% of compute, shown in the estimate. Failed compute is never charged. Results are hashed by the server; the verification label says exactly what was checked.
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Estimating…