Forward capacity · dedicated AI infrastructure

Capacity is reserved,
not queued.

Dedicated GPU capacity contracted against a defined term, a named site and a stated power budget. Contact our team for the latest availability.

  • Forward reserving
  • 36–60 month terms
  • Dedicated capacity

Reservation

Three steps, no discovery phase.

We do not run a sales cycle before we run your model. The first technical conversation produces a configuration and a measurement.

01

Scope

Model class, parameter count, context length, concurrency and latency target. One call, written up as a configuration.

02

Measure

Your model on the proposed hardware. Latency, throughput and tokens per watt — measured, not interpolated from a datasheet.

03

Commit

A named site, a term, a power budget and a ramp schedule. Nodes are held once the reservation is signed.

Submit requirements.

Tell us the workload and the target date. We will come back with a reference configuration, a site recommendation and the availability position for that site.

If the right answer is a smaller tier, or a different site, that is what the reply will say.

Prefer email?

info@agatecap.com
Include the model, the concurrency and the date you need capacity.

Please enter your name.

Please enter your company.

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Please describe the workload.

Questions

Commercial, mostly.

One node for twelve months. Terms of 36 and 60 months carry the reserved-capacity pricing; shorter terms are priced at the on-demand rate.

Yes. Reserved nodes are allocated to one customer for the term. You are not sharing a scheduler with another tenant unless you contract for shared capacity at a lower price.

Within a platform and a country, yes, subject to availability at the receiving site. Across borders it depends on the data terms of both sites — we will not move customer data without a written instruction.

You renew, resize or release. Released nodes return to the published inventory, which is why the table above moves. There is no automatic rollover at a higher rate.

Get started

Not sure which tier you need?

Send the workload and we will size it. The answer is sometimes smaller than the request — and it is always measured on the hardware you would actually be buying.