Live idle-capacity network

Most machines are idle most of the time. We put that to work.

Minkus finds the spare compute already sitting inside call centers, back offices, and data halls — routes it to the AI workloads that need it, and pays you for every idle cycle you contribute.

How it works
No new hardware. No idle racks. Just the compute that was already there.
Capacity map — North America, region 3live
14,382
machines connected
41%
avg. idle right now
<400ms
routing latency
Call center floor, Ohio — 62% idle overnightRegional insurer back office — 2,100 cores pooledRetail HQ desktops — 71% idle after 6pmLogistics dispatch center — 890 cores pooledMunicipal office network — 54% idle weekday afternoons
How it works

Three steps between a quiet desktop and a running model.

No new infrastructure to buy. Minkus works with the machines already on the floor.

detect

Find the downtime

A lightweight agent watches for genuine idle windows — overnight, weekends, slow call queues — without ever touching the work already running on that machine.

pool

Pool the cycles

Idle capacity from thousands of machines is combined into one elastic, sandboxed compute layer, isolated from the host device and its data.

route

Route the workload

AI teams draw on that pool for training and inference on demand, and pay only for the cycles they actually use.

Two sides, one network

Built for the machine's owner and the model's builder.

Hardware owners

Turn downtime into revenue

Your fleet already sits idle for hours a day. Minkus monetizes that time without getting in the way of the work it's there to do.

  • Never interrupts or slows down primary workloads
  • Sandboxed execution — no access to local data or files
  • Revenue-share dashboard with per-machine payouts
  • Set your own idle-time and utilization thresholds
AI teams

Compute when you actually need it

Skip the queue for scarce accelerators. Draw on a distributed pool of capacity for the workloads that can flex around availability.

  • Burst capacity for training runs and batch jobs
  • Spot-priced inference, billed by the cycle
  • No long-term contracts or minimum commitments
  • Simple API — route jobs the same way you do today

Your idle machines are worth more than you think.

Connect your fleet or start routing workloads — either way, it takes about ten minutes.