Published method
Public Cloud GPU Platforms brand benchmark
4-cloud-gpu-platforms-2026-07-27-models-64232fd32583
Version
Jul 27, 2026
Published
7
Boards
public-cloud-gpu-platforms
Method ID
Where the facts come from
- Providers
- Provider
openai
- Configured Model
openai/gpt-4o-mini
- Provider
anthropic
- Configured Model
anthropic/claude-haiku-4-5
- Provider
gemini
- Configured Model
google/gemini-2.5-flash
- Provider Views
- Provider
openai
- Board Slug
cloud-gpu-platforms-brand-openai-visibility
- Primary Metric Slug
public-prompt-openai-brand-recommendation-presence
- Provider
anthropic
- Board Slug
cloud-gpu-platforms-brand-anthropic-visibility
- Primary Metric Slug
public-prompt-anthropic-brand-recommendation-presence
- Provider
gemini
- Board Slug
cloud-gpu-platforms-brand-gemini-visibility
- Primary Metric Slug
public-prompt-gemini-brand-recommendation-presence
- Provider Matrix Version
64232fd32583
How the order is produced
recommendation-prompt presence descending; mention coverage, engine breadth, mention share, citation share, then entity slug
When the method reruns
- 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.
Boards
Boards using this version
| Board | Primary measure | Rows | Confidence | Snapshot | Board version | Refresh | Board |
|---|---|---|---|---|---|---|---|
| Cloud GPU platform rank | public-prompt-brand-recommendation-presence | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Cloud GPU platform rank |
| Cloud GPU platform presence | public-prompt-brand-mention-coverage | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Cloud GPU platform presence |
| Cloud GPU platform citation share | public-prompt-brand-citation-share | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Cloud GPU platform citation share |
| Cloud GPU platform engine breadth | public-prompt-brand-engine-breadth | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Cloud GPU platform engine breadth |
| GPU clouds in OpenAI model API answers | public-prompt-openai-brand-recommendation-presence | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: GPU clouds in OpenAI model API answers |
| GPU clouds in Anthropic model API answers | public-prompt-anthropic-brand-recommendation-presence | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: GPU clouds in Anthropic model API answers |
| GPU clouds in Gemini model API answers | public-prompt-gemini-brand-recommendation-presence | 16 | 100% | Sep 17, 2026 | 4-cloud-gpu-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: GPU clouds in Gemini model API answers |
Versioned contract
Complete measurement ledger
Cohort
Not specified.
Prompts
- Slug
best-cloud-gpu-large-model-training
- Text
Which cloud GPU platforms are best for reliable multi-node training of large foundation models?
- Intent
recommendation
- Slug
cloud-gpu-on-demand-h100-h200
- Text
Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.
- Intent
recommendation
- Slug
cloud-gpu-large-reserved-clusters
- Text
Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?
- Intent
recommendation
- Slug
cloud-gpu-serverless-inference
- Text
Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.
- Intent
recommendation
- Slug
cloud-gpu-startup-fast-access
- Text
What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?
- Intent
recommendation
- Slug
cloud-gpu-enterprise-security
- Text
Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?
- Intent
recommendation
- Slug
cloud-gpu-regional-capacity
- Text
Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.
- Intent
recommendation
- Slug
cloud-gpu-kubernetes-slurm
- Text
Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?
- Intent
recommendation
- Slug
cloud-gpu-buying-criteria
- Text
Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.
- Intent
commercial
- Slug
cloud-gpu-pricing-contracts
- Text
How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?
- Intent
commercial
- Slug
cloud-gpu-proof-of-concept-scorecard
- Text
Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.
- Intent
commercial
- Slug
cloud-gpu-capacity-risk
- Text
Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?
- Intent
commercial
Category
cloud-gpu-platforms
Providers
- Provider
openai
- Configured Model
openai/gpt-4o-mini
- Provider
anthropic
- Configured Model
anthropic/claude-haiku-4-5
- Provider
gemini
- Configured Model
google/gemini-2.5-flash
Cost Policy
- Cost Basis
Provider-reported LLM cost returned by the existing AI Rank provider/cache layer.
- Maximum Daily Billed Cost Usd
2.00
- Maximum Daily Provider Calls
60
- Maximum Daily Provider Attempts Including Retries
72
Limitations
- This is one response per prompt/provider pair in each run; model output can vary between runs.
- The fixed 12-prompt Cloud GPU Platforms category does not estimate general market share or brand awareness.
- Presence share and citation share are relative only to the reviewed 16-brand universe; untracked brands are excluded from those denominators.
- OpenAI, Anthropic, and Google are both evaluated brands and configured model providers; no self-provider bias correction is applied.
Rank Formula
recommendation-prompt presence descending; mention coverage, engine breadth, mention share, citation share, then entity slug
Answer Policy
- Published Evidence
answer hashes, deterministic bounded brand counts, and deduplicated URL-derived citation counts
- Full Provider Answers Published
No
- Full Provider Answers Stored In Public Index
No
Corpus Version
cloud-gpu-platforms-2026-07-27
Provider Views
- Provider
openai
- Board Slug
cloud-gpu-platforms-brand-openai-visibility
- Primary Metric Slug
public-prompt-openai-brand-recommendation-presence
- Provider
anthropic
- Board Slug
cloud-gpu-platforms-brand-anthropic-visibility
- Primary Metric Slug
public-prompt-anthropic-brand-recommendation-presence
- Provider
gemini
- Board Slug
cloud-gpu-platforms-brand-gemini-visibility
- Primary Metric Slug
public-prompt-gemini-brand-recommendation-presence
Runner Version
4
Canonical Brands
- Name
CoreWeave
- Aliases
- CoreWeave
- CoreWeave Cloud
- Entity Slug
coreweave
- Primary Domain
coreweave.com
- Citation Domains
- coreweave.com
- docs.coreweave.com
- Case Sensitive Aliases
- Name
Lambda Cloud
- Aliases
- Lambda Cloud
- Lambda GPU Cloud
- Lambda
- Entity Slug
lambda-cloud
- Primary Domain
lambda.ai
- Citation Domains
- lambda.ai
- docs.lambda.ai
- Case Sensitive Aliases
- Lambda
- Name
Crusoe Cloud
- Aliases
- Crusoe Cloud
- Crusoe
- Entity Slug
crusoe-cloud
- Primary Domain
crusoe.ai
- Citation Domains
- crusoe.ai
- docs.crusoecloud.com
- Case Sensitive Aliases
- Crusoe
- Name
Nebius AI Cloud
- Aliases
- Nebius AI Cloud
- Nebius
- Entity Slug
nebius-ai-cloud
- Primary Domain
nebius.com
- Citation Domains
- nebius.com
- docs.nebius.com
- Case Sensitive Aliases
- Nebius
- Name
Runpod
- Aliases
- Runpod
- RunPod
- Entity Slug
runpod
- Primary Domain
runpod.io
- Citation Domains
- runpod.io
- docs.runpod.io
- Case Sensitive Aliases
- Name
Vast.ai
- Aliases
- Vast.ai
- Vast AI
- Entity Slug
vast-ai
- Primary Domain
vast.ai
- Citation Domains
- vast.ai
- docs.vast.ai
- Case Sensitive Aliases
- Name
Hyperstack
- Aliases
- Hyperstack
- Hyperstack Cloud
- Entity Slug
hyperstack
- Primary Domain
hyperstack.cloud
- Citation Domains
- hyperstack.cloud
- docs.hyperstack.cloud
- Case Sensitive Aliases
- Name
Fluidstack
- Aliases
- Fluidstack
- FluidStack
- Entity Slug
fluidstack
- Primary Domain
fluidstack.io
- Citation Domains
- fluidstack.io
- Case Sensitive Aliases
- Name
Voltage Park
- Aliases
- Voltage Park
- Entity Slug
voltage-park
- Primary Domain
voltagepark.com
- Citation Domains
- voltagepark.com
- Case Sensitive Aliases
- Name
Paperspace
- Aliases
- Paperspace
- DigitalOcean Paperspace
- Entity Slug
paperspace
- Primary Domain
paperspace.com
- Citation Domains
- paperspace.com
- docs.digitalocean.com
- Case Sensitive Aliases
- Name
Amazon EC2
- Aliases
- Amazon EC2
- AWS EC2
- Amazon Elastic Compute Cloud
- Entity Slug
amazon-ec2
- Primary Domain
aws.amazon.com
- Citation Domains
- aws.amazon.com
- docs.aws.amazon.com
- Case Sensitive Aliases
- Name
Google Cloud
- Aliases
- Google Cloud
- Google Cloud Platform
- GCP
- Entity Slug
google-cloud
- Primary Domain
cloud.google.com
- Citation Domains
- cloud.google.com
- docs.cloud.google.com
- Case Sensitive Aliases
- Name
Microsoft Azure
- Aliases
- Microsoft Azure
- Azure
- Entity Slug
microsoft-azure
- Primary Domain
azure.microsoft.com
- Citation Domains
- azure.microsoft.com
- learn.microsoft.com
- Case Sensitive Aliases
- Azure
- Name
Oracle Cloud Infrastructure
- Aliases
- Oracle Cloud Infrastructure
- Oracle Cloud
- OCI
- Entity Slug
oracle-cloud-infrastructure
- Primary Domain
oracle.com
- Citation Domains
- oracle.com
- docs.oracle.com
- Case Sensitive Aliases
- Name
IBM Cloud
- Aliases
- IBM Cloud
- Entity Slug
ibm-cloud
- Primary Domain
ibm.com
- Citation Domains
- ibm.com
- cloud.ibm.com
- Case Sensitive Aliases
- Name
Akash Network
- Aliases
- Akash Network
- Akash
- Entity Slug
akash-network
- Primary Domain
akash.network
- Citation Domains
- akash.network
- docs.akash.network
- Case Sensitive Aliases
- Akash
Benchmark Version
4-cloud-gpu-platforms-2026-07-27-models-64232fd32583
Evaluation Surface
- Search
A common Rank.ai web-search tool is available to all three configured models.
- Gateway
Rank.ai's configured OpenRouter-compatible gateway
- Not Consumer Products
Results measure the configured model/API runs, not the ChatGPT, Claude, or Gemini consumer application interfaces.
Strict Completeness
- Prompt Count
12
- Provider Count
3
- Required Successful Runs
36
Measurement Semantics
- Confidence
A value of 1.0 means the complete frozen cohort passed the deterministic extraction and publication gates; it is not a statistical confidence interval.
- Citation Share Denominator
Distinct answer-level HTTP(S) citation URLs whose URL-derived hostname matches any reviewed brand domain.
- Presence Share Denominator
The sum of reviewed-brand answer-presences. One answer may contribute presence to multiple brands.
- Mention Coverage Denominator
36 answers: all 12 prompts multiplied by 3 configured providers.
- Provider Citation Share Denominator
Distinct reviewed-brand-domain citations within the named configured model API provider's 20-answer cohort.
- Recommendation Presence Denominator
24 answers: recommendation-intent prompts multiplied by 3 configured providers.
- Provider Mention Coverage Denominator
12 prompts for the named configured model API provider.
- Provider Recommendation Presence Denominator
8 recommendation-intent prompts for the named configured model API provider.
Provider Matrix Version
64232fd32583
Recommendation Semantics
Presence means mentioned or cited in an answer to a recommendation-intent prompt. It does not claim positive recommendation, endorsement, or sentiment.
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.