Job pricing
You submit a workload — Jungle Grid matches it to live capacity and charges for compute actually used. No reserved instances. No idle billing.
Cost estimator
Pick the workload type, model size, and optimization target. Get a live estimate from available nodes with no sign-in required.
01 — Workload type
02 — Model size
03 — Optimise for
Why cheaper
The platform scores cost, latency, reliability, queue depth, and thermal state on every dispatch. You do not manually shop for hardware each time.
Jungle Grid compares live provider-backed capacity instead of forcing one fixed cloud path, so you can land on cheaper nodes when they are healthy and fit the request.
The platform scores cost, latency, reliability, queue depth, and thermal state before placement, so a cheap but unhealthy node does not win the route.
You are billed for actual compute used, not reserved guesswork. Short inference requests stay short on the invoice too.
Platform reliability
Fewer than 100 completed jobs in the last 30 days — metrics not yet statistically meaningful.
FAQ
Jungle Grid prices AI workloads against the matched route instead of forcing one fixed provider path. You estimate the route first, then pay for compute time actually used.
The pricing page is designed around matched compute cost and workload estimates. The important user question is what the route should cost before dispatch, not a maze of provider-specific pricing logic.
Because cost research is often the last step before a real trial. The estimator and live GPU tables help teams validate budget before they wire the workflow into their app or ops stack.
Up to $20 prize draw, no card needed for signup. Prize draw eligibility and compute-credit claim terms may apply.