Buyer prompt · published evidence

Which GPU clouds are strongest for reserving hundreds of tightly networked accelerators for a multi-month training program?

An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.

Intent
recommendation
Model providers
3
Categories
1
Last observed
Aug 9, 2026, 12:00 AM UTC
Competitive outcome

Brands surfaced

Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.

#BrandCategoryProvidersMentionsOwned citationsProvider evidence
01Google Cloudcloud.google.comGPU clouds240Openai · Gemini
02Microsoft Azureazure.microsoft.comGPU clouds240Openai · Gemini
03Runpodrunpod.ioGPU clouds232Openai · Gemini
04Lambda Cloudlambda.aiGPU clouds230Openai · Gemini
05Vast.aivast.aiGPU clouds121Openai
06IBM Cloudibm.comGPU clouds111Gemini
Model comparison

Answer matrix

One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.

ProviderModel versionCategoryBrands surfacedCitationsUnique domainsAnswer hash
Openaiopenai/gpt-4o-miniGPU cloudsLambda Cloud · Runpod · Vast.ai · Google Cloud · Microsoft Azure55e5287ea7…846ec
Anthropicanthropic/claude-haiku-4-5GPU cloudsNone observed00c30eb738…d3a71
Geminigoogle/gemini-2.5-flashGPU cloudsLambda Cloud · Runpod · Google Cloud · Microsoft Azure · IBM Cloud5574fef5ef…85d43
URL-derived citations

Sources cited

Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.

Snapshot IDs8f1902fe-35a1-4596-a7c6-692df5b53ffa
Corpus versionscloud-gpu-platforms-2026-07-27
Benchmark versions4-cloud-gpu-platforms-2026-07-27-models-64232fd32583

Coverage: GPU clouds. Full answers stored: no · Full answers published: no · Tenant data included: no.