Reviewed GPU infrastructure providers ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
Cloud GPU platforms
Most cited domains in cloud GPU platforms answers
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
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
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.
Compare brands
One brand against up to three competitors, answer by answer
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
| Brand | Named or cited | Against primary | Share of compared | Mentions | Answers citing it | Links to its site | Model APIs |
|---|---|---|---|---|---|---|---|
| Lambda Cloudlambda.ai | 38.9%14 of 36 | +8.3 pts | 51.9% | 29 | 5 | 9 | 3 of 3 |
| CoreWeavecoreweave.com | 30.6%11 of 36 | Primary | 40.7% | 19 | 0 | 0 | 2 of 3 |
| Crusoe Cloudcrusoe.ai | 2.8%1 of 36 | -27.8 pts | 3.7% | 1 | 1 | 1 | 1 of 3 |
| Nebius AI Cloudnebius.com | 2.8%1 of 36 | -27.8 pts | 3.7% | 2 | 1 | 1 | 1 of 3 |
Every answer
Which compared brands each answer names
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01Which cloud GPU platforms are best for reliable multi-node training of large foundation models?Recommendation | CoreWeaveLambda Cloud 5 sources e26df8b1 | None named 0 sources dd4afeab | CoreWeaveLambda Cloud 7 sources 42e44b3b |
| 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 sources b4cdad7f | Lambda Cloud, cited 2 6 sources 389992af | CoreWeaveLambda Cloud, cited 1 8 sources 44e25546 |
| 03Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?Recommendation | CoreWeaveLambda Cloud 6 sources cf645d59 | None named 0 sources 1618941d | CoreWeaveLambda Cloud 7 sources 63153df5 |
| 04Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.Recommendation | None named 6 sources 2e810747 | None named 0 sources 31289165 | None named 7 sources b70c0396 |
| 05What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?Recommendation | Lambda Cloud 7 sources 38feeacf | Lambda Cloud, cited 4 8 sources 66c62ad8 | None named 9 sources ab64d39b |
| 06Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?Recommendation | CoreWeaveLambda Cloud 5 sources 4712904b | None named 0 sources ded18530 | None named 8 sources 15999442 |
| 07Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.Recommendation | CoreWeaveLambda Cloud 7 sources c7c938a5 | None named 0 sources 3ac9297a | CoreWeaveLambda Cloud 8 sources dcd37607 |
| 08Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?Recommendation | CoreWeaveNebius AI Cloud, cited 1 7 sources dacd6580 | None named 0 sources 5e058ae3 | Crusoe Cloud, cited 1 9 sources e2bfa496 |
| 09Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.Commercial comparison | CoreWeaveLambda Cloud 7 sources a86dbb68 | None named 0 sources 7ee88389 | None named 6 sources 96362ac0 |
| 10How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?Commercial comparison | None named 6 sources b4bc35ba | None named 0 sources 301e1970 | None named 5 sources 48e89e4c |
| 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 sources fc834653 | None named 0 sources 78741630 | Lambda Cloud, cited 1 4 sources 47480766 |
| 12Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?Commercial comparison | None named 9 sources dfe95a7e | None named 0 sources 51ee7ab8 | None named 5 sources dba5c807 |
Sources
The sites these answers cite
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| runpod.io | 14 | 2 | 2 | 1 |
| gmicloud.ai | 11 | 9 | 2 | 2 |
| reddit.com | 9 | 8 | 3 | 1 |
| northflank.com | 8 | 5 | 2 | 1 |
| spheron.network | 7 | 7 | 3 | 2 |
| modal.com | 6 | 8 | 2 | 1 |
| youtube.com | 5 | 6 | 3 | 2 |
| lambda.ai | 5 | 3 | 3 | 1 |
| rank.ai | 5 | 3 | 2 | 1 |
| medium.com | 4 | 4 | 3 | 2 |
| onesourcecloud.net | 4 | 4 | 2 | 2 |
| fluence.ai | 4 | 2 | 2 | 1 |
| cloud.google.com | 3 | 2 | 1 | 1 |
| deploybase.ai | 3 | 2 | 2 | 4 |
| getdeploying.com | 3 | 1 | 2 | 1 |
| forums.developer.nvidia.com | 2 | 2 | 2 | 2 |
| akamai.com | 2 | 2 | 1 | 3 |
| cudocompute.com | 2 | 2 | 2 | 3 |
| vcluster.com | 2 | 2 | 1 | 3 |
| linkedin.com | 2 | 2 | 1 | 4 |
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
reddit.com on Most-cited domains in Cloud GPU Platforms answers
Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot.
Ranks URL-derived citation hostnames in the complete public prompt benchmark without additional provider calls.
3
Rank on this board
25 percent
Score
36
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Answer coverage | 25 | 25 |
Unchanged since the previous snapshot
No change in rankNo component moved since the previous snapshot.
Where each number comes from
7 public recordsCited-answer coverageAnswer coverage · observed Sep 17, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai Cloud GPU Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Best citation positionBest position · observed Sep 17, 2026, 12:00 AM UTC1 position100% confidence
- Source
- Rank.ai Cloud GPU Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Cited answersCited answer · observed Sep 17, 2026, 12:00 AM UTC9 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"}
Distinct citation URLsDistinct URL · observed Sep 17, 2026, 12:00 AM UTC8 URLs100% 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"}
Engine breadthEngine breadth · observed Sep 17, 2026, 12:00 AM UTC3 engines100% 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"}
Mean citation positionMean position · observed Sep 17, 2026, 12:00 AM UTC4.636 position100% confidence
- Source
- Rank.ai Cloud GPU Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Median citation positionMedian position · observed Sep 17, 2026, 12:00 AM UTC5 position100% confidence
- Source
- Rank.ai Cloud GPU Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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