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GPU InstancesSelf-serve GPUs for notebooks, training jobs, and debuggingGPU ClustersReserved multi-node capacity with priority scheduling
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Pricing

Pricing aligned to how ML teams actually run workloads.

Commercial models built for experimentation, steady-state training, and enterprise procurement workflows.

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PlanBest forBilling modelSupportAction
On-DemandExperimentation, prototyping, and burst demandPer GPU-hourEmail supportStart self-serve
Reserved CapacityRecurring training and sustained production workloadsMonthly commitmentPriorityRequest capacity plan
Enterprise ProgramSecurity, procurement, and multi-team governance needsContract + usageTechnical account managementSpeak with sales

Metering visibility

Track GPU time, storage, and add-ons with project-level attribution for clear chargeback and forecasting.

Invoice flows

Use invoice-ready exports and standardized line items that align with finance reconciliation workflows.

Budget controls

Set usage thresholds and budget guardrails to catch overruns early and maintain spend discipline.