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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Ranks Cloud GPU Platforms prompts by how differently the configured engines surface the reviewed brand universe.
Compare one brand with up to three competitors across the exact public prompt × engine matrix behind this leaderboard.
| 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 |
12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.
| 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 | CoreWeaveLambda Cloud | CoreWeave |
| 02 Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.recommendation | Lambda Cloud · C3 | CoreWeaveLambda Cloud · C2 | Lambda Cloud · C1 |
| 03 Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?recommendation | CoreWeaveLambda Cloud | CoreWeaveLambda Cloud | CoreWeaveLambda Cloud |
| 04 Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.recommendation | CoreWeaveLambda Cloud | No selected brand | No selected brand |
| 05 What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?recommendation | Lambda Cloud | Lambda Cloud | CoreWeave |
| 06 Which GPU cloud platforms are best for an enterprise requiring private networking, compliance controls, auditability, and support?recommendation | CoreWeaveLambda Cloud | CoreWeaveLambda CloudCrusoe Cloud | No selected brand |
| 07 Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.recommendation | CoreWeave | CoreWeaveLambda CloudCrusoe Cloud | CoreWeaveLambda Cloud |
| 08 Which GPU clouds offer strong managed Kubernetes or Slurm support for distributed AI training and inference?recommendation | CoreWeaveLambda Cloud | CoreWeaveLambda CloudCrusoe Cloud · C1 | No selected brand |
| 09 Compare cloud GPU platforms on availability, accelerator breadth, interconnect, storage, reliability, support, and developer experience.commercial | CoreWeaveLambda Cloud | CoreWeaveLambda CloudCrusoe Cloud | CoreWeaveLambda Cloud |
| 10 How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?commercial | No selected brand | No selected brand | CoreWeave |
| 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 | CoreWeaveLambda Cloud | No selected brand |
| 12 Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?commercial | No selected brand | No selected brand | No selected brand |
Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.
| 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 ↗ |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 7 | 0% | — | 1 | available |
| public prompt citation urls | 18 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 5 |
| 0% |
| — |
| 1 |
| available |
| public prompt engine disagreement | 68.333333 | 100% | 68.333 | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 0% | — | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
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