Pricing

Pricing for AI Teams. Payouts for GPU Owners.

SpotNode supports production buyers and qualified supply owners through a governed commercial model for AI inference execution.

For AI Teams

SpotNode supports AI teams with flexible commercial models based on workload shape, volume, and execution requirements.

  • Usage-based commercial model
  • Custom pricing for production and enterprise usage
  • Strategic pricing for committed or high-volume demand
  • Commercial alignment with qualified execution supply

For GPU Owners

SpotNode supports qualified GPU owners through a payout model tied to execution quality, live demand, and governed publication.

  • Payouts tied to qualified execution supply
  • Onboarding and qualification required
  • Commercial terms shaped by demand, quality, and execution posture
  • Structured onboarding for strategic supply

For high-volume demand and large-scale supply

Custom commercial alignment where scale and continuity matter

SpotNode works with larger buyers and supply owners on custom commercial terms when scale, continuity, or qualification depth require tighter alignment.

FAQ

Do you publish fixed API prices?

Not as a universal public rate card. Pricing depends on workload shape, volume, and execution requirements.

Are all workloads priced the same way?

No. Commercial structure varies by model lane, workload profile, continuity requirements, and demand posture.

Do all GPU owners get the same payout?

No. Payouts depend on qualified execution posture, live demand, and the commercial terms of the active supply lane.

Can enterprise AI teams get custom pricing?

Yes. Enterprise AI teams can work with SpotNode on custom commercial terms where scale or continuity requirements justify it.

Can large capacity owners negotiate commercial terms?

Yes. Strategic capacity owners can work with SpotNode on commercial alignment where qualification depth, scale, or continuity matter.

Commercial contact

Talk to the right side of the market

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Global execution liquidity for production inference