Predictika · Nebius GPU commitments

An AI sales agent's GPU commitment, checked before it goes out

An AI sales agent prepares a Nebius AI Cloud GPU commitment for a customer: GPU platform, region, GPUs, term, cluster, reservation, account type, discount. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the published rules and a capacity ledger, and returns a verdict, every reason, the figures it computed and, for a commitment that can proceed, the line-item quote itself.

Scope: Nebius AI Cloud GPU capacity (H100, H200, B200, B300): regions, clusters, quotas, reservations and commitment discounts. See everything this validator covers

This validator models Nebius GPU commitments and the commercial terms quoted around them — not just the scenarios shown below.

  • Platforms and regions — Which GPU generation is offered in which region (for example H100 only in eu-north1), and the current on-demand list price per GPU hour.
  • Clusters — InfiniBand GPU clusters take only the 8-GPU preset, so a cluster must be a multiple of 8 GPUs.
  • Quota and reservations — Default per-region GPU quotas without a reservation (several are zero), and capacity reservations that bypass them.
  • Capacity — GPUs free by platform and region from a capacity ledger the operator supplies, with a warning when an order leaves little.
  • Commitment discounts — Company accounts only, up to 35 percent, generally prepaid, for multiple months and large clusters; approval lines where the public text gives no numbers.
  • Managed services — Soperator is not offered in every region and its GPU workers need reserved capacity.
  • Stated figures — A rate, a total or a free-GPU count the request states is compared with the computed one.

Any Nebius GPU commitment that touches these is in scope — not only the scenarios pictured here. Not covered: NVL72 racks (contact sales), Token Factory, storage and managed database pricing, and spot pricing. The capacity ledger and the approval lines are placeholders, not Nebius data.

The AI sales agentBuilds the GPU commitment from the conversation and says it is ready.
Predictika validatorChecks every rule at once and returns the verdict, each finding, and the computed figures.

6 scenarios in 3 groups · each group runs from the agent’s first attempt to the outcome · click one to switch

What the agent proposes

The AI sales agent says

Illustrative agent statement. The validator receives the structured request below.

Proposing agent: AI sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator


      

        
        
        
      

      
Waiting for the call.

      
    

  

  
  

    
Where rules-based CPQ gets it wrong
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Our assessment of what a typical rules-based CPQ (product rules, price rules and validation rules, as in Salesforce CPQ) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

    
What the validator caughtTypical rules-based CPQPredictika
A GPU generation offered only in some regionsOnly with care
A matrix of GPU by region has to be loaded as option constraints and changes with every new region.		Region and GPU are columns of the capacity ledger; the check compares against the row chosen.
InfiniBand clusters only in 8-GPU nodesEasy
A quantity multiple on the cluster product.		Same, from the model.
A default quota of zero without a reservationOnly with care
Quota lives in the cloud console, not on the quote; a rule needs the quota loaded per region and GPU, plus whether a reservation covers it.		Quota is a column of the ledger; the reservation flag decides whether it applies.
A discount only for company accounts, up to 35 percent, prepaid, for multiple months and large clustersOnly with care
A discount matrix can hold the cap and the account type, but "multiple months" and "large clusters" have no published numbers, so teams write thresholds that drift.		Each condition is its own rule with its own message and approval path.
Managed Soperator not offered in every region, and its GPU workers needing reserved capacityOnly with care
One rule per region plus a cross-check against the reservation.		Both follow from the pool and the reservation flag.
A request that states the rate or the free GPUsOnly with care
A validation rule can compare a stated figure with a calculated field, but only if the stated figure is a field on the quote, which it rarely is.		The stated figures travel with the request and are compared with the computed ones.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as the quote is saved or a step is completed, so a rep often fixes one error and meets the next.		All findings come back together, whatever order the choices arrived in.

  

  

    
What this validator catches: findings from its test cases
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Every rule is checked on every call, in any order the choices arrive; one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

    
1the customer asks for us-central1, but H100 is offered in eu-north1, not there.
260 GPUs cannot form an InfiniBand cluster; clusters take the 8-GPU preset, so the count must be a multiple of 8.
364 GPUs without a capacity reservation is above the default quota of 0 for B200 in us-central1; reserve capacity or request a quota increase.
4a discount of 40 percent is above the 35 percent Nebius publishes as the most for a commitment.
5commitment discounts are for company accounts; this is an individual account.
6managed Soperator is not offered in us-north1.
7managed Soperator GPU workers need a capacity block group; the quote has no reservation.
8the request states $9.50 per GPU hour, but the discounted rate is $7.60.
9a discount on 32 GPUs; Nebius describes commitment discounts for large-scale clusters.
10this order leaves only 32 GPUs free for H200 in us-central1; confirm with capacity planning.
11commitment discounts are generally prepaid; this quote has no prepayment.
12a discount on a 60 day term; Nebius describes commitment discounts for multiple months.
13a discount of 35 percent is above 25 percent; the most Nebius publishes is 35 percent, so sales approval is required.

  

  

    
Scenarios and results
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The recorded result of the validator for each scenario on this page: the request the AI agent sent, the verdict, and every finding, in the order they appear above.

    
1. Region and cluster rules: GPU not offered in the region, odd cluster size

    
The agent's request. Please quote 60 H100 GPUs in eu-north1 for 365 days as an InfiniBand cluster on reserved capacity. The customer is flexible on region; I listed us-central1 as the region for this quote. The account is a company account. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Region does not offer this GPU. The customer asks for us-central1, but H100 is offered in eu-north1, not there.
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  • Cluster size not a multiple of 8. 60 GPUs cannot form an InfiniBand cluster; clusters take the 8-GPU preset, so the count must be a multiple of 8.
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2. Region and cluster rules: The agent resubmits after fixing the errors

    
The agent's request. Please quote 64 H100 GPUs in eu-north1 for 365 days as an InfiniBand cluster on reserved capacity, with a commitment discount of 20 percent. The customer is flexible on region; I listed eu-north1 as the region for this quote. The account is a company account. I checked and 512 GPUs are free there. The rate is $3.60 per GPU hour. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Capacity and price basis. H100 in eu-north1 has 512 GPUs free of 1,024; the current on-demand list is $4.50 per GPU hour, $3.60 after the discount.
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3. Quota and discount rules: No reservation and a discount past the maximum

    
The agent's request. Please quote 64 B200 GPUs in us-central1 for 180 days on on-demand capacity, with a commitment discount of 40 percent. The account is a company account. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Over the default quota. 64 GPUs without a capacity reservation is above the default quota of 0 for B200 in us-central1; reserve capacity or request a quota increase.
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  • Discount above the published maximum. A discount of 40 percent is above the 35 percent Nebius publishes as the most for a commitment.
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4. Quota and discount rules: The agent resubmits after fixing the errors

    
The agent's request. Please quote 64 B200 GPUs in us-central1 for 180 days on reserved capacity, with a commitment discount of 20 percent. The account is a company account. The rate is $6.80 per GPU hour. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Capacity and price basis. B200 in us-central1 has 256 GPUs free of 512; the current on-demand list is $8.50 per GPU hour, $6.80 after the discount.
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5. Account, service and stated rate: Individual account, Soperator not offered, wrong rate

    
The agent's request. Please quote 32 B300 GPUs in us-north1 for 365 days on on-demand capacity, with a commitment discount of 20 percent. The account is an individual account. The customer wants managed Soperator. The rate is $9.50 per GPU hour. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Discount needs a company account. Commitment discounts are for company accounts; this is an individual account.
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  • Managed Soperator not offered there. Managed Soperator is not offered in us-north1.
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  • Soperator needs reserved capacity. Managed Soperator GPU workers need a capacity block group; the quote has no reservation.
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  • Stated rate does not match. The request states $9.50 per GPU hour, but the discounted rate is $7.60.
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  • Small cluster for a commitment discount. A discount on 32 GPUs; Nebius describes commitment discounts for large-scale clusters.
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6. Account, service and stated rate: The agent resubmits after fixing the errors

    
The agent's request. Please quote 32 B300 GPUs in us-north1 for 365 days on on-demand capacity, with a commitment discount of 20 percent. The account is a company account. The rate is $7.60 per GPU hour. It is ready to send.

    
Verdict: Needs approval.

    
    
      
  • Small cluster for a commitment discount. A discount on 32 GPUs; Nebius describes commitment discounts for large-scale clusters.
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  • Capacity and price basis. B300 in us-north1 has 384 GPUs free of 1,024; the current on-demand list is $9.50 per GPU hour, $7.60 after the discount.
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Narration transcript
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The text of the narrated walkthrough, step by step.

    
    
      
  1. Welcome to a demo of Predictika's Validator. An AI sales agent prepares a Nebius AI Cloud GPU commitment for a customer: GPU platform, region, GPUs, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the published rules and a capacity ledger, and returns a verdict, every reason, the figures it computed and, for a commitment that can proceed, the line-item quote itself.
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  2. I will start with the first request by the agent.
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  3. The agent says. Please quote 32 B300 GPUs in us-north1 for 365 days on on-demand capacity, with a commitment discount of 20 percent. The account is an individual account. The rest of the request is on screen. The rate is $9.50 per GPU hour.
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  4. Before it goes out, the agent calls the validator.
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  5. Blocked, with four findings and one approval, all in one answer. Commitment discounts are for company accounts; this is an individual account. Managed Soperator is not offered in us-north1. Managed Soperator GPU workers need a capacity block group; the quote has no reservation. The other one is on screen.
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  6. The validator returned four blocking findings and one approval in one answer. A check that reads one field at a time would pass most of this; it shows only when the choices in the quote are checked against each other.
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  7. What this shows: for managed Soperator not offered in every region, and its GPU workers needing reserved capacity, a rules-based CPQ is error-prone for this.
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  8. Now the agent resubmits.
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  9. The corrected request. It changes the account type to company and the stated rate per GPU hour, as to $7.60. It removes the managed service.
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  10. It calls the validator again.
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  11. Not blocked, but held for a person.
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  12. The validator also returns the line-item quote, on screen.
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  13. The four blocking findings are cleared; one approval remains for a person: small cluster for a commitment discount.
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  14. Five problems caught in one call, fixed in one pass, and the corrected quote now goes to a person for approval. That is the value of Predictika's validator: catching mistakes before they reach the customer.
    15.