Everyday capacity
Entry-level and everyday devices, matched to approved jobs they can complete correctly.
IdleGPU is exploring a controlled way for invited GPU owners to process approved work and earn an agreed share for accepted results.
We’re designing participation around a range of GPU capabilities. Compatible entry-level hardware can handle smaller jobs; more capable hardware can qualify for higher-rate work when its measured performance justifies it.
Entry-level and everyday devices, matched to approved jobs they can complete correctly.
Midrange hardware with tested capacity to deliver suitable batches faster or handle more demanding jobs.
High-performance and higher-memory systems where compatible workloads benefit from the extra capability.
Having a GPU does not guarantee admission. Software compatibility, usable memory, correctness and reliable delivery all matter. Earnings require paying demand and accepted work.
Explore tier rates →Explicit opt-in and manual pause. Planned memory and execution limits should make participation understandable and controllable.
Fixed models and bounded inputs. No customer-supplied code, unrestricted remote rental or public inbound worker service.
Compensation would follow validated output—not an unverified claim of GPU time. Failed and disputed work needs a defined review process.
Describe the device and availability without sending credentials or confidential details.
Record hardware, software, correctness and sustained performance with an invited test.
Opt in to approved work. Outbound polling and expiring leases handle disconnects.
Inspect completed records and the agreed compensation before supervised payouts begin.
A connected GPU does not automatically receive paying jobs. Net benefit depends on accepted work, electricity, availability, cooling, bandwidth and wear.
The pilot must measure these costs and failed-work overhead before quoting income. No minimum earnings or utilisation is promised.
Explore provider tiers →