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Cloud GPU Platforms Brands in OpenAI Model API Answers

Ranks reviewed Cloud GPU Platforms brands by presence in OpenAI's configured model API answers to the fixed public prompt cohort. This does not measure the consumer application.

Coverage: 16 entities
Confidence: 100%
Freshness: current
Export: CSV / JSON

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Watching publication Jul 27, 2026

LEADERBOARD

Current rankings

Metric: OpenAI recommendation-prompt presence

Find in tableEntity typeMovementConfidenceEvidence NRank rangeColumnsSort rowsAnswer providerBrand signal

16of 16 rows

Cloud GPU Platforms Brands in OpenAI Model API Answers current rankings
Rank	Entity	OpenAI recommendation-prompt presence	Mention coverage	Mention share	Citation share	Engine breadth	OpenAI rec. presence	OpenAI coverage	Confidence	N	Change	Trend	Explain
01	Runpodcompany	87.5%	66.67%	18.9%	50%	3	87.5%	66.67%	100%	8	—	—	Analyze brand Why this rank
02	Lambda Cloudcompany	87.5%	58.33%	16.54%	12.5%	3	87.5%	66.67%	100%	8	—	—	Analyze brand Why this rank
03	CoreWeavecompany	75.0%	58.33%	16.54%	0%	3	75%	58.33%	100%	8	—	—	Analyze brand Why this rank
04	Google Cloudcompany	75.0%	58.33%	16.54%	12.5%	3	75%	66.67%	100%	8	—	—	Analyze brand Why this rank
05	Microsoft Azurecompany	50.0%	38.89%	11.02%	12.5%	3	50%	41.67%	100%	8	—	—	Analyze brand Why this rank
06	Vast.aicompany	12.5%	19.44%	5.51%	0%	3	12.5%	16.67%	100%	8	—	—	Analyze brand Why this rank
07	Paperspacecompany	12.5%	22.22%	6.3%	6.25%	3	12.5%	16.67%	100%	8	—	—	Analyze brand Why this rank
08	IBM Cloudcompany	12.5%	2.78%	0.79%	0%	1	12.5%	8.33%	100%	8	—	—	Analyze brand Why this rank
09	Crusoe Cloudcompany	0.0%	11.11%	3.15%	2.08%	1	0%	0%	100%	8	—	—	Analyze brand Why this rank
10	Hyperstackcompany	0.0%	8.33%	2.36%	2.08%	2	0%	0%	100%	8	—	—	Analyze brand Why this rank
11	Oracle Cloud Infrastructurecompany	0.0%	5.56%	1.57%	2.08%	2	0%	0%	100%	8	—	—	Analyze brand Why this rank
12	Amazon EC2company	0.0%	2.78%	0.79%	0%	1	0%	0%	100%	8	—	—	Analyze brand Why this rank
13	Akash Networkcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
14	Fluidstackcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
15	Nebius AI Cloudcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
16	Voltage Parkcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank

Cloud GPU Platforms Brands in OpenAI Model API Answers current rankings
Rank	Entity	OpenAI recommendation-prompt presence	Mention coverage	Mention share	Citation share	Engine breadth	OpenAI rec. presence	OpenAI coverage	Confidence	N	Change	Trend	Explain
01	Runpodcompany	87.5%	66.67%	18.9%	50%	3	87.5%	66.67%	100%	8	—	—	Analyze brand Why this rank
02	Lambda Cloudcompany	87.5%	58.33%	16.54%	12.5%	3	87.5%	66.67%	100%	8	—	—	Analyze brand Why this rank
03	CoreWeavecompany	75.0%	58.33%	16.54%	0%	3	75%	58.33%	100%	8	—	—	Analyze brand Why this rank
04	Google Cloudcompany	75.0%	58.33%	16.54%	12.5%	3	75%	66.67%	100%	8	—	—	Analyze brand Why this rank
05	Microsoft Azurecompany	50.0%	38.89%	11.02%	12.5%	3	50%	41.67%	100%	8	—	—	Analyze brand Why this rank
06	Vast.aicompany	12.5%	19.44%	5.51%	0%	3	12.5%	16.67%	100%	8	—	—	Analyze brand Why this rank
07	Paperspacecompany	12.5%	22.22%	6.3%	6.25%	3	12.5%	16.67%	100%	8	—	—	Analyze brand Why this rank
08	IBM Cloudcompany	12.5%	2.78%	0.79%	0%	1	12.5%	8.33%	100%	8	—	—	Analyze brand Why this rank
09	Crusoe Cloudcompany	0.0%	11.11%	3.15%	2.08%	1	0%	0%	100%	8	—	—	Analyze brand Why this rank
10	Hyperstackcompany	0.0%	8.33%	2.36%	2.08%	2	0%	0%	100%	8	—	—	Analyze brand Why this rank
11	Oracle Cloud Infrastructurecompany	0.0%	5.56%	1.57%	2.08%	2	0%	0%	100%	8	—	—	Analyze brand Why this rank
12	Amazon EC2company	0.0%	2.78%	0.79%	0%	1	0%	0%	100%	8	—	—	Analyze brand Why this rank
13	Akash Networkcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
14	Fluidstackcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
15	Nebius AI Cloudcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank
16	Voltage Parkcompany	0.0%	0%	0%	0%	0	0%	0%	100%	8	—	—	Analyze brand Why this rank

Primary brandPrompt intentAnswer enginePrompt contains

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Answer presence58.3%21/36 filtered answers mention or cite CoreWeave

Selected-set share45.7%Share of answer-presences among the compared brands, not market share

Owned citation answers00 answer-level URL signals on reviewed owned domains

Engine breadth3/3Engines with at least one observed presence

Filtered competitive answer-presence comparison
Brand	Presence	Vs. primary	Selected share	Mentions	Cited answers	Owned URL signals	Engine breadth
Lambda Cloudlambda.ai	58.3%21/36	0.0 pp	45.7%	46	3	6	3/3
CoreWeavecoreweave.com	58.3%21/36	BASE	45.7%	62	0	0	3/3
Crusoe Cloudcrusoe.ai	11.1%4/36	-47.2 pp	8.7%	11	1	1	1/3
Nebius AI Cloudnebius.com	0.0%0/36	-58.3 pp	0.0%	0	0	0	0/3

ANSWER-LEVEL OBSERVATIONS

Prompt × engine matrix

12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.

Brand presence by public prompt and answer engine
Public prompt	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01 Which cloud GPU platforms are best for reliable multi-node training of large foundation models?recommendation	CoreWeaveLambda Cloud 5 source URLs`67cdbb1a`	CoreWeaveLambda Cloud 5 source URLs`c33c44e8`	CoreWeave 2 source URLs`42a8e4f1`
02 Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.recommendation	Lambda Cloud · C3 3 source URLs`104c4d88`	CoreWeaveLambda Cloud · C2 7 source URLs`2437c623`	Lambda Cloud · C1 9 source URLs`891783a2`
03 Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?recommendation	CoreWeaveLambda Cloud 6 source URLs`e27cb262`	CoreWeaveLambda Cloud 7 source URLs`933e36e5`	CoreWeaveLambda Cloud 6 source URLs`d25695fc`
04 Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.recommendation	CoreWeaveLambda Cloud 5 source URLs`238f9e1d`	No selected brand 5 source URLs`4848364a`	No selected brand 8 source URLs`cd89aa49`
05 What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?recommendation	Lambda Cloud 3 source URLs`2cdb6915`	Lambda Cloud 2 source URLs`4f3b1738`	CoreWeave 6 source URLs`504df0c6`
06 Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?recommendation	CoreWeaveLambda Cloud 6 source URLs`27fda95c`	CoreWeaveLambda CloudCrusoe Cloud 7 source URLs`531f7af2`	No selected brand 9 source URLs`47e34c25`
07 Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.recommendation	CoreWeave 4 source URLs`183012d5`	CoreWeaveLambda CloudCrusoe Cloud 7 source URLs`f2de2abe`	CoreWeaveLambda Cloud 8 source URLs`08248e08`
08 Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?recommendation	CoreWeaveLambda Cloud 6 source URLs`bbb3d8c0`	CoreWeaveLambda CloudCrusoe Cloud · C1 9 source URLs`35eca0c6`	No selected brand 9 source URLs`8565ac65`
09 Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.commercial	CoreWeaveLambda Cloud 6 source URLs`6260a2da`	CoreWeaveLambda CloudCrusoe Cloud 8 source URLs`e1d43171`	CoreWeaveLambda Cloud 8 source URLs`7b83ee68`
10 How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?commercial	No selected brand 8 source URLs`3dc42130`	No selected brand 9 source URLs`661d659c`	CoreWeave 10 source URLs`a5b480a0`
11 Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.commercial	No selected brand 0 source URLs`db77ab07`	CoreWeaveLambda Cloud 4 source URLs`624ca27a`	No selected brand 0 source URLs`fbc6f62c`
12 Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?commercial	No selected brand 6 source URLs`7f5eeb15`	No selected brand 8 source URLs`73e84d80`	No selected brand 3 source URLs`4559abf7`

STRUCTURED CITATION LEDGER

Sources shaping this filtered view

Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.

Validated citation sources in filtered answers
Source hostname	Cited answers	Distinct URLs	Engine breadth	Best position	Evidence
runpod.io	21	10	3	#1	Open source ↗
spheron.network	11	10	3	#1	Open source ↗
gmicloud.ai	11	8	3	#1	Open source ↗
reddit.com	10	9	3	#2	Open source ↗
northflank.com	8	2	2	#1	Open source ↗
deploybase.ai	6	4	3	#1	Open source ↗
getdeploying.com	6	1	3	#1	Open source ↗
cloud.google.com	5	4	3	#1	Open source ↗
jarvislabs.ai	5	3	3	#1	Open source ↗
aimultiple.com	5	1	3	#1	Open source ↗
youtube.com	4	4	2	#3	Open source ↗
hostrunway.com	4	3	2	#2	Open source ↗
medium.com	4	3	3	#2	Open source ↗
cloud-gpus.com	4	1	2	#4	Open source ↗
lambda.ai	3	3	3	#1	Open source ↗
onesourcecloud.net	3	3	2	#3	Open source ↗
thundercompute.com	3	3	2	#3	Open source ↗
vcluster.com	3	3	2	#3	Open source ↗
linkedin.com	3	3	2	#5	Open source ↗
paperspace.com	3	2	2	#1	Open source ↗

PUBLIC-BENCHMARK PRIVACY BOUNDARY

This report contains only code-reviewed public prompts, deterministic brand counts, answer hashes, and validated structured citation URLs. Full model answers are neither stored nor published here. No customer, organization, or private tracked-prompt data is included.

cloud-gpu-platforms-2026-07-27 / 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583

Cloud GPU Platforms Brands in OpenAI Model API Answers

Current rankings

Brand vs. market

Prompt × engine matrix

Sources shaping this filtered view

Brand vs. market

Prompt × engine matrix

Sources shaping this filtered view