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BUYER PROMPT / PUBLISHED EVIDENCE

Create a proof-of-concept scorecard for evaluating GPU clouds on real workload throughput, failure recovery, networking, and total cost.

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
commercial
Model providers
3
Categories
1
Last observed
Jul 27, 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.

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 cloudsNone observed00db77ab07…b91b8
Anthropicanthropic/claude-haiku-4-5GPU cloudsCoreWeave · Lambda Cloud · Runpod · Paperspace · Amazon EC2 · Google Cloud · Microsoft Azure44624ca27a…46001
Geminigoogle/gemini-2.5-flashGPU cloudsNone observed00fbc6f62c…06c6b
URL-DERIVED CITATIONS

Sources cited

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

Snapshot IDs971c6a81-9f43-4199-9edc-b9bcab011702
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.