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Cloud GPU platforms

Most cited domains in cloud GPU platforms answers

70 sites ranked by how often AI answers cite 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

38.9%

runpod.io ranks first

Cited answer coverage

70

Sites ranked

Sep 17

Snapshot recorded

2026 · Rotating schedule

36

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 70 sites by cited answer coverage

runpod.io leads at 38.9%; the middle of the board sits at 2.8%.

Ahead of second place
8.3%
Held by the top three
22%
Middle of the board
2.8%
Below half the leader
66 of 70
Highest 38.9%Middle 2.8%
1. runpod.io: 38.9%2. gmicloud.ai: 30.6%3. reddit.com: 25.0%4. northflank.com: 22.2%5. spheron.network: 19.4%6. modal.com: 16.7%7. lambda.ai: 13.9%8. youtube.com: 13.9%9. rank.ai: 13.9%10. medium.com: 11.1%11. fluence.ai: 11.1%12. onesourcecloud.net: 11.1%13. getdeploying.com: 8.3%14. deploybase.ai: 8.3%15. cloud.google.com: 8.3%16. hostrunway.com: 5.6%17. cloud-gpus.com: 5.6%18. cudocompute.com: 5.6%19. jarvislabs.ai: 5.6%20. compute.exchange: 5.6%21. forums.developer.nvidia.com: 5.6%22. newsletter.semianalysis.com: 5.6%23. hostinger.com: 5.6%24. vcluster.com: 5.6%25. akamai.com: 5.6%26. linkedin.com: 5.6%27. digitalocean.com: 5.6%28. datagravity.dev: 2.8%29. developer.nvidia.com: 2.8%30. facebook.com: 2.8%31. quora.com: 2.8%32. stninc.com: 2.8%33. 273ventures.com: 2.8%34. crusoe.ai: 2.8%35. pguso.medium.com: 2.8%36. scaleops.com: 2.8%37. spglobal.com: 2.8%38. axecompute.com: 2.8%39. docs.cloud.google.com: 2.8%40. ironorbit.com: 2.8%41. saturncloud.io: 2.8%42. docs.lambda.ai: 2.8%43. blog.paperspace.com: 2.8%44. gpunex.com: 2.8%45. hyperstack.cloud: 2.8%46. nzocloud.com: 2.8%47. paperspace.com: 2.8%48. atlantic.net: 2.8%49. cloudzero.com: 2.8%50. datacamp.com: 2.8%51. docs.baseten.co: 2.8%52. evergent.com: 2.8%53. ibm.com: 2.8%54. nebius.com: 2.8%55. packet.ai: 2.8%56. skorppio.com: 2.8%57. zadara.com: 2.8%58. computecomparison.com: 2.8%59. greennode.ai: 2.8%60. packetfabric.com: 2.8%61. rackdog.com: 2.8%62. thundercompute.com: 2.8%63. vastdata.com: 2.8%64. cast.ai: 2.8%65. lesswrong.com: 2.8%66. qumulo.com: 2.8%67. siliconflow.com: 2.8%68. website.vcluster.com: 2.8%69. netrality.com: 2.8%70. io.net: 2.8%
Rank 1One bar per published rowRank 70

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.

engines: 1 on 50 of 70 rows · pages cited: 1 on 50 of 70 rows · 36 checks behind each row.

Most cited domains in cloud GPU platforms answers current rankings
RankNameCited answer coverageAnswers citing itBest positionTypical positionChangeWhy
01runpod.io38.9%1413 This rank
02gmicloud.ai30.6%1125 11This rank
03reddit.com25.0%915 This rank
04northflank.com22.2%813.5 2This rank
05spheron.network19.4%723 1This rank
06modal.com16.7%614—This rank
07lambda.ai13.9%512 1This rank
08youtube.com13.9%524.5 1This rank
09rank.ai13.9%511 7This rank
10medium.com11.1%422.5 4This rank
11fluence.ai11.1%414—This rank
12onesourcecloud.net11.1%424.5 16This rank
13getdeploying.com8.3%313 5This rank
14deploybase.ai8.3%348 3This rank
15cloud.google.com8.3%311 14This rank
16hostrunway.com5.6%211 2This rank
17cloud-gpus.com5.6%222.5 9This rank
18cudocompute.com5.6%233.5 31This rank
19jarvislabs.ai5.6%244.5 14This rank
20compute.exchange5.6%255—This rank
21forums.developer.nvidia.com5.6%225 4This rank
22newsletter.semianalysis.com5.6%223—This rank
23hostinger.com5.6%234.5—This rank
24vcluster.com5.6%234.5 24This rank
25akamai.com5.6%235.5—This rank
26linkedin.com5.6%245.5 40This rank
27digitalocean.com5.6%267 12This rank
28datagravity.dev2.8%111—This rank
29developer.nvidia.com2.8%111 5This rank
30facebook.com2.8%111—This rank
31quora.com2.8%111 5This rank
32stninc.com2.8%111 20This rank
33273ventures.com2.8%122—This rank
34crusoe.ai2.8%122 11This rank
35pguso.medium.com2.8%122—This rank
36scaleops.com2.8%122 20This rank
37spglobal.com2.8%122—This rank
38axecompute.com2.8%133—Showing
39docs.cloud.google.com2.8%133 1This rank
40ironorbit.com2.8%133—This rank
41saturncloud.io2.8%133—This rank
42docs.lambda.ai2.8%133.5—This rank
43blog.paperspace.com2.8%144—This rank
44gpunex.com2.8%144—This rank
45hyperstack.cloud2.8%144—This rank
46nzocloud.com2.8%144—This rank
47paperspace.com2.8%144—This rank
48atlantic.net2.8%155 7This rank
49cloudzero.com2.8%155—This rank
50datacamp.com2.8%155—This rank
51docs.baseten.co2.8%155—This rank
52evergent.com2.8%155—This rank
53ibm.com2.8%155 7This rank
54nebius.com2.8%155—This rank
55packet.ai2.8%155 This rank
56skorppio.com2.8%155 1This rank
57zadara.com2.8%155—This rank
58computecomparison.com2.8%166—This rank
59greennode.ai2.8%166 40This rank
60packetfabric.com2.8%166—This rank
61rackdog.com2.8%166 41This rank
62thundercompute.com2.8%166 3This rank
63vastdata.com2.8%166 53This rank
64cast.ai2.8%177—This rank
65lesswrong.com2.8%177—This rank
66qumulo.com2.8%177—This rank
67siliconflow.com2.8%177—This rank
68website.vcluster.com2.8%177—This rank
69netrality.com2.8%188 2This rank
70io.net2.8%199 19This rank

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

axecompute.com on Most-cited domains in Cloud GPU Platforms answers

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

Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot, comparable prior ranking.

Ranks URL-derived citation hostnames in the complete public prompt benchmark without additional provider calls.

38

Rank on this board

2.778 percent

Score

36

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 axecompute.com's score
ComponentValueContribution
Answer coverage2.7777782.778

New in this snapshot

No change in rank

entity_not_ranked_in_prior_snapshot

No component moved since the previous snapshot.

Where each number comes from

7 public records
  • Cited-answer coverageAnswer coverage · observed Sep 17, 2026, 12:00 AM UTC2.778 percent100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["040752d4-8eb8-4acd-b686-8d970c3981d3","d73f0f1c-aa9e-4d44-b837-9eef2f4144b8","cf0e71f7-5df4-4826-977f-82ac3bda8f59","a7ebdd3a-b8c1-457a-a226-0eb276e25477","a9d4f2fe-2534-41e6-a6c7-5d66bc9247f6","9cbc4ef3-ee08-4bc0-aefb-d72330dfbf40","11a21777-2424-43c2-a1bf-711b9f7f0c7c","6daa38c8-aaf6-4660-9578-99beb9bec360","604c8aa4-4c25-4c36-acbf-031c38489fc9","e8556831-d924-4a97-bbca-c0d9b377a087","eb876571-0eef-4351-8b48-dd3f62664866","a5411302-a7e4-43af-a185-4a7d9f8d65e1","d24f2813-c426-4532-a194-bd957de6a9b4","a518ca7e-7ad2-4379-8e6d-3c931ca294b5","79ab50b5-45b1-4119-adbd-02f37cf2d06f","24c39e21-23c6-42c7-9236-df677eb00404","a1f329a8-acd2-44fb-8f52-cea6cd81c08f","b25ffa06-1225-44cc-b259-9a178aa39fd5","7fd5fdab-821c-4c95-8d6a-934abe04fa6a","07de9229-90c1-4f33-8946-6119b25b8d82","ee148445-8df9-44e7-a821-5bd8ce23ff2b","9c75e385-a818-46fd-a539-6171c4cb8ce0","5aea5e42-c668-40b4-bbb9-8b981616ba25","a305b1cd-5522-412c-bbdc-2ee9e43b9acc","6ff794a4-a3fe-4e4f-84d4-c6895a39d065","538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","285699cb-e4ec-4ad7-8b87-86276027fbb4","1e797edf-d178-426a-9199-538b67b761b1","08871839-2509-4447-bd71-40dcbd35c2d4","87acbce0-3e5c-4376-9479-19a78ac5ffa6","1292ed23-b3ee-446a-a00c-a9da79723573","f2554213-5548-4fc2-ba43-5f5a2614254a","fff6aa60-2b84-4c50-8183-f300d57e9097","1f8815d0-a3ef-4820-b756-d42535c584b3","b574df36-f648-4bfa-a517-b521532ad8ae"],"benchmarkVersion":"4-cloud-gpu-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Best citation positionBest position · observed Sep 17, 2026, 12:00 AM UTC3 position100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["040752d4-8eb8-4acd-b686-8d970c3981d3","d73f0f1c-aa9e-4d44-b837-9eef2f4144b8","cf0e71f7-5df4-4826-977f-82ac3bda8f59","a7ebdd3a-b8c1-457a-a226-0eb276e25477","a9d4f2fe-2534-41e6-a6c7-5d66bc9247f6","9cbc4ef3-ee08-4bc0-aefb-d72330dfbf40","11a21777-2424-43c2-a1bf-711b9f7f0c7c","6daa38c8-aaf6-4660-9578-99beb9bec360","604c8aa4-4c25-4c36-acbf-031c38489fc9","e8556831-d924-4a97-bbca-c0d9b377a087","eb876571-0eef-4351-8b48-dd3f62664866","a5411302-a7e4-43af-a185-4a7d9f8d65e1","d24f2813-c426-4532-a194-bd957de6a9b4","a518ca7e-7ad2-4379-8e6d-3c931ca294b5","79ab50b5-45b1-4119-adbd-02f37cf2d06f","24c39e21-23c6-42c7-9236-df677eb00404","a1f329a8-acd2-44fb-8f52-cea6cd81c08f","b25ffa06-1225-44cc-b259-9a178aa39fd5","7fd5fdab-821c-4c95-8d6a-934abe04fa6a","07de9229-90c1-4f33-8946-6119b25b8d82","ee148445-8df9-44e7-a821-5bd8ce23ff2b","9c75e385-a818-46fd-a539-6171c4cb8ce0","5aea5e42-c668-40b4-bbb9-8b981616ba25","a305b1cd-5522-412c-bbdc-2ee9e43b9acc","6ff794a4-a3fe-4e4f-84d4-c6895a39d065","538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","285699cb-e4ec-4ad7-8b87-86276027fbb4","1e797edf-d178-426a-9199-538b67b761b1","08871839-2509-4447-bd71-40dcbd35c2d4","87acbce0-3e5c-4376-9479-19a78ac5ffa6","1292ed23-b3ee-446a-a00c-a9da79723573","f2554213-5548-4fc2-ba43-5f5a2614254a","fff6aa60-2b84-4c50-8183-f300d57e9097","1f8815d0-a3ef-4820-b756-d42535c584b3","b574df36-f648-4bfa-a517-b521532ad8ae"],"benchmarkVersion":"4-cloud-gpu-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Cited answersCited answer · observed Sep 17, 2026, 12:00 AM UTC1 answers100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"cloud-gpu-platforms-2026-07-27","runArtifactIds":["040752d4-8eb8-4acd-b686-8d970c3981d3","d73f0f1c-aa9e-4d44-b837-9eef2f4144b8","cf0e71f7-5df4-4826-977f-82ac3bda8f59","a7ebdd3a-b8c1-457a-a226-0eb276e25477","a9d4f2fe-2534-41e6-a6c7-5d66bc9247f6","9cbc4ef3-ee08-4bc0-aefb-d72330dfbf40","11a21777-2424-43c2-a1bf-711b9f7f0c7c","6daa38c8-aaf6-4660-9578-99beb9bec360","604c8aa4-4c25-4c36-acbf-031c38489fc9","e8556831-d924-4a97-bbca-c0d9b377a087","eb876571-0eef-4351-8b48-dd3f62664866","a5411302-a7e4-43af-a185-4a7d9f8d65e1","d24f2813-c426-4532-a194-bd957de6a9b4","a518ca7e-7ad2-4379-8e6d-3c931ca294b5","79ab50b5-45b1-4119-adbd-02f37cf2d06f","24c39e21-23c6-42c7-9236-df677eb00404","a1f329a8-acd2-44fb-8f52-cea6cd81c08f","b25ffa06-1225-44cc-b259-9a178aa39fd5","7fd5fdab-821c-4c95-8d6a-934abe04fa6a","07de9229-90c1-4f33-8946-6119b25b8d82","ee148445-8df9-44e7-a821-5bd8ce23ff2b","9c75e385-a818-46fd-a539-6171c4cb8ce0","5aea5e42-c668-40b4-bbb9-8b981616ba25","a305b1cd-5522-412c-bbdc-2ee9e43b9acc","6ff794a4-a3fe-4e4f-84d4-c6895a39d065","538519fc-9b22-46fd-a3a9-4f6b34545d3f","43a87aa6-3069-4ed4-82fd-a367236145c8","285699cb-e4ec-4ad7-8b87-86276027fbb4","1e797edf-d178-426a-9199-538b67b761b1","08871839-2509-4447-bd71-40dcbd35c2d4","87acbce0-3e5c-4376-9479-19a78ac5ffa6","1292ed23-b3ee-446a-a00c-a9da79723573","f2554213-5548-4fc2-ba43-5f5a2614254a","fff6aa60-2b84-4c50-8183-f300d57e9097","1f8815d0-a3ef-4820-b756-d42535c584b3","b574df36-f648-4bfa-a517-b521532ad8ae"],"benchmarkVersion":"4-cloud-gpu-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct citation URLsDistinct URL · observed Sep 17, 2026, 12:00 AM UTC1 URLs100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
  • Engine breadthEngine breadth · observed Sep 17, 2026, 12:00 AM UTC1 engines100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
  • Mean citation positionMean position · observed Sep 17, 2026, 12:00 AM UTC3 position100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
  • Median citation positionMedian position · observed Sep 17, 2026, 12:00 AM UTC3 position100% confidence
    Source
    Rank.ai Cloud GPU Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
Public Cloud GPU Platforms answer source visibility, version 2-parent-c13d7518a32be52c490 observations · 1 source · quality passed
Snapshot
8dc99c40-f91c-48c3-8460-862009b56609
Data hash
96562dfa74feea836394fcac1e494b6126af2ddd8295ffab27cf5cfbee16702e
Method hash
650b3795425a53f116ecd97fb4bb6cd7730b0c26a8ce82b1fb716155b6631702

More in Cloud GPU platforms

Specialist GPU clouds, marketplaces, and hyperscalers ranked across a fixed infrastructure buying corpus, with brand, prompt, engine and citation source views.

3 boards
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.