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Cloud GPU platforms

Cloud GPU platforms engine disagreement by prompt

12 prompts ranked by how differently the three model APIs answer them.
Recorded Sep 17, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

100.0%

Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference? ranks first

Cross engine brand disagreement

12

Prompts ranked

Sep 17

Snapshot recorded

2026 · Rotating schedule

3

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 12 prompts by cross engine brand disagreement

Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference? leads at 100.0%; the middle of the board sits at 71.4%.

Ahead of second place
11.1%
Held by the top three
36%
Middle of the board
71.4%
Below half the leader
2 of 12
Rank, name and cross engine brand disagreementMiddle 71.4%
  1. 1Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?100.0%
  2. 2Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?88.9%
  3. 3Which cloud GPU platforms are best for reliable multi-node training of large foundation models?81.0%
  4. 4Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.81.0%
  5. 5Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?79.2%
  6. 6Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.76.2%
  7. 7Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.66.7%
  8. 8Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.66.7%
  9. 9What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?55.6%
  10. 10Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.54.8%
  11. 11Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?0.0%
  12. 12How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?0.0%

The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

leading brand owned citation coverage: 0 on 6 of 12 rows · 3 checks behind each row · 100% confidence across rows.

Cloud GPU platforms engine disagreement by prompt current rankings
RankNameCross engine brand disagreementPresence eventsCitation URLSDistinct reviewed brandsChangeWhy
01Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?100.0%6156 1This rankRun it
02Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?88.9%8136 7This rankRun it
03Which cloud GPU platforms are best for reliable multi-node training of large foundation models?81.0%11107 5This rankRun it
04Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.81.0%11107 3ShowingRun it
05Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?79.2%13118 1This rankRun it
06Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.76.2%12147 1This rankRun it
07Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.66.7%242 4This rankRun it
08Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.66.7%1131 4This rankRun it
09What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?55.6%8224 4This rankRun it
10Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.54.8%13177 7This rankRun it
11Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?0.0%0130 1This rankRun it
12How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?0.0%080 2This rankRun it

Compare brands

One brand against up to three competitors, answer by answer

12 questions × 3 model APIs · recorded Sep 17, 2026
Run a question live
Compared 4 of 4

30.6%

of these answers name or cite CoreWeave

11 of 36 answers

40.7%

Its share of the compared brands' appearances

0

Answers citing its own site

0 links to its domains

2 of 3

Model APIs that name it

The compared brands across the filtered answers
BrandNamed or citedAgainst primaryShare of comparedMentionsAnswers citing itLinks to its siteModel APIs
Lambda Cloudlambda.ai38.9%14 of 36+8.3 pts51.9%29593 of 3
CoreWeavecoreweave.com30.6%11 of 36Primary40.7%19002 of 3
Crusoe Cloudcrusoe.ai2.8%1 of 36-27.8 pts3.7%1111 of 3
Nebius AI Cloudnebius.com2.8%1 of 36-27.8 pts3.7%2111 of 3

Every answer

Which compared brands each answer names

12 questions · 36 answers · a blank cell names none of the compared brands
Compared brands named in each answer, by question and model API
QuestionOpenAIopenai/gpt-4o-miniAnthropicanthropic/claude-haiku-4-5Geminigoogle/gemini-2.5-flash
01Which cloud GPU platforms are best for reliable multi-node training of large foundation models?Recommendation
CoreWeaveLambda Cloud
5 sourcese26df8b1
None named
0 sourcesdd4afeab
CoreWeaveLambda Cloud
7 sources42e44b3b
02Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.Recommendation
CoreWeaveLambda Cloud, cited 1
6 sourcesb4cdad7f
Lambda Cloud, cited 2
6 sources389992af
CoreWeaveLambda Cloud, cited 1
8 sources44e25546
03Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?Recommendation
CoreWeaveLambda Cloud
6 sourcescf645d59
None named
0 sources1618941d
CoreWeaveLambda Cloud
7 sources63153df5
04Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.Recommendation
None named
6 sources2e810747
None named
0 sources31289165
None named
7 sourcesb70c0396
05What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?Recommendation
Lambda Cloud
7 sources38feeacf
Lambda Cloud, cited 4
8 sources66c62ad8
None named
9 sourcesab64d39b
06Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?Recommendation
CoreWeaveLambda Cloud
5 sources4712904b
None named
0 sourcesded18530
None named
8 sources15999442
07Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.Recommendation
CoreWeaveLambda Cloud
7 sourcesc7c938a5
None named
0 sources3ac9297a
CoreWeaveLambda Cloud
8 sourcesdcd37607
08Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?Recommendation
CoreWeaveNebius AI Cloud, cited 1
7 sourcesdacd6580
None named
0 sources5e058ae3
Crusoe Cloud, cited 1
9 sourcese2bfa496
09Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.Commercial comparison
CoreWeaveLambda Cloud
7 sourcesa86dbb68
None named
0 sources7ee88389
None named
6 sources96362ac0
10How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?Commercial comparison
None named
6 sourcesb4bc35ba
None named
0 sources301e1970
None named
5 sources48e89e4c
11Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.Commercial comparison
None named
0 sourcesfc834653
None named
0 sources78741630
Lambda Cloud, cited 1
4 sources47480766
12Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?Commercial comparison
None named
9 sourcesdfe95a7e
None named
0 sources51ee7ab8
None named
5 sourcesdba5c807

Sources

The sites these answers cite

Each site is read from the cited address itself.
Sites cited in the filtered answers
SiteAnswers citing itDistinct pagesModel APIsBest position
runpod.io14221
gmicloud.ai11922
reddit.com9831
northflank.com8521
spheron.network7732
modal.com6821
youtube.com5632
lambda.ai5331
rank.ai5321
medium.com4432
onesourcecloud.net4422
fluence.ai4221
cloud.google.com3211
deploybase.ai3224
getdeploying.com3121
forums.developer.nvidia.com2222
akamai.com2213
cudocompute.com2223
vcluster.com2213
linkedin.com2214

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.cloud-gpu-platforms-2026-07-27 / 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583

Why this rank

Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience. on Cloud GPU Platforms Engine Disagreement by Prompt

Snapshot of Sep 17, 2026, 12:00 AM UTC · Link to this snapshot

Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.

4

Rank on this board

80.952 percent

Score

3

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.'s score
ComponentValueContribution
Engine disagreement80.95238180.952

Moved down since the previous snapshot

-3 places
  1. Engine disagreement91.667 to 80.952
    -10.714
  2. Presence events5 to 11
    +6
  3. Distinct reviewed brands4 to 7
    +3
  4. Citation URLS12 to 10
    -2
  5. Leading brand consensus66.667 to 66.667
    0
  6. Leading brand owned citation coverage33.333 to 33.333
    0
  7. Leading brand owned citation gap33.333 to 33.333
    0

Where each number comes from

7 public records
  • Reviewed-brand presence eventsPresence events · observed Sep 17, 2026, 12:00 AM UTC11 presence_events100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct citation URLsCitation URLS · observed Sep 17, 2026, 12:00 AM UTC10 urls100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 17, 2026, 12:00 AM UTC7 brands100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Cross-engine brand disagreementEngine disagreement · observed Sep 17, 2026, 12:00 AM UTC80.952 percent100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand engine consensusLeading brand consensus · observed Sep 17, 2026, 12:00 AM UTC66.667 percent100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 17, 2026, 12:00 AM UTC33.333 percent100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 17, 2026, 12:00 AM UTC33.333 percentage_points100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"cloud-gpu-buying-criteria","corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","6ff794a4-a3fe-4e4f-84d4-c6895a39d065"],"parentSnapshotId":"83bdc888-6ae7-4cb1-8b8d-c037b9aa2951","providerMatrixVersion":"64232fd32583"}
    Open the source
Public Cloud GPU Platforms prompt leaders, engine disagreement, and citation opportunity, version 2-parent-c13d7518a32be52c84 observations · 1 source · quality passed
Snapshot
20f0654a-d1bf-4b4a-9b42-e7002d93377e
Data hash
aa76387ba58debff53ddacc65b243580bc2c2ae4e70c8d82476c628653dde5c6
Method hash
b71352855964d6f13ec8e94eb078588186c244e0c571eeee0dabea2f35ab388f

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Cloud GPU platform rank

Reviewed GPU infrastructure providers ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

See how often AI names you.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.