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Bulk pricing

Volume compute, priced properly

Tell us what you need to run and at what scale. We'll come back with capacity options, a rate, and a deployment timeline — not a discovery call to qualify you first.

20,000+GPUs on the marketplace
$0.35Lowest hourly rate
Per secondBilling granularity

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Why teams move here

The marketplace does the price discovery

Providers compete for your job instead of quoting from a rate card. You see what each machine costs before you rent it, and you pay for the seconds you use.

Priced by supply and demand

Rates come from providers competing on an open marketplace, published and queryable. No upfront commitment, no minimum spend.

The right card for the job

Frontier silicon when the model demands it, consumer cards when throughput per dollar matters more. Same account, same bill.

Isolated by default

Dedicated hardware with direct SSH — no shared containers. Region pinning where residency rules dictate it. Tell us your compliance requirements and we'll tell you plainly what we can and can't meet.

Engineers on the other end

Support from people who have run production models on this infrastructure, not a tier-one script reading from a wiki.

The difference

Match the workload to the hardware

Most spend is wasted running cheap work on expensive cards. A marketplace lets you put the critical job on frontier silicon and the prototyping on whatever is cheapest that week — without renegotiating anything.

Dynamic allocation

Pay for the capacity a job actually needs, for as long as it needs it. Nothing sits reserved and idle.

Scales both ways

A single card for a test, a few hundred for a training run, back to zero when it finishes.

Reserved when it makes sense

Steady load is cheaper on a reserved block. We'll say so rather than let you overpay on demand.

Scriptable procurement

Everything on the pricing page is available from the CLI and SDK, so this fits your pipeline rather than a portal.

Tell us what you need to run

We'll come back with capacity options, pricing and a timeline — usually within one business day.