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Cited source

spheron.network

Every answer in Rank.ai's prompt benchmark that cited spheron.network: the buying question, the model API that answered, and the page it cited.
Latest snapshot Sep 17, 2026. Hostnames come from the URLs the answers returned.
Visit spheron.network

6

Questions citing it

3

Model APIs citing it

7

Pages cited

2

Best citation position

Coverage

Categories that cite spheron.network

Counted from every published question and model API answer in each category.
CategoryQuestions citingModel APIs citingCitationsSnapshotRanking
Cloud GPU platforms637Sep 17, 2026Open the ranking: Cloud GPU platforms

Evidence

Every answer that cited spheron.network

All in GPU clouds. Position is the order the model API returned the citation in, within one answer. It is not a page rank or an endorsement.
QuestionModel APIModelPositionCited page
Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.recommendationOpenAIopenai/gpt-4o-mini2https://spheron.network/blog/gpu-cloud-pricing-comparison-2026/
How should a buyer compare GPU cloud pricing across on-demand, spot, reserved, bare-metal, and committed-capacity contracts?commercialGooglegoogle/gemini-2.5-flash3https://spheron.network/blog/serverless-gpu-vs-on-demand-vs-reserved/
Recommend GPU infrastructure providers with broad regional capacity, current accelerator availability, and data-residency options.recommendationGooglegoogle/gemini-2.5-flash3https://spheron.network/blog/gpu-cloud-providers-australia-2026/
What GPU cloud should a startup use for fast self-service access, clear hourly pricing, persistent storage, and simple deployment?recommendationOpenAIopenai/gpt-4o-mini3https://spheron.network/blog/gpu-cloud-startups-2026/
Recommend a GPU cloud for autoscaling production inference with custom containers, scale-to-zero, and predictable cold starts.recommendationGooglegoogle/gemini-2.5-flash4https://spheron.network/blog/gpu-cold-start-llm-inference-2026/
Recommend cloud GPU providers with transparent on-demand access to H100 or H200 instances and no long-term commitment.recommendationAnthropicanthropic/claude-haiku-4-54https://spheron.network/blog/spheron-vs-lambda-labs/
Which criteria expose capacity, interruption, egress, quota, and vendor lock-in risk when selecting a cloud GPU provider?commercialOpenAIopenai/gpt-4o-mini7https://spheron.network/blog/aws-gcp-azure-gpu-alternative/

Pages

Pages the answers cited

One row per URL, ordered by how many questions and model APIs cited it, then by best position.
Cited pageQuestionsModel APIsBest positionCitations
https://spheron.network/blog/gpu-cloud-pricing-comparison-2026/1121
https://spheron.network/blog/gpu-cloud-providers-australia-2026/1131
https://spheron.network/blog/gpu-cloud-startups-2026/1131
https://spheron.network/blog/serverless-gpu-vs-on-demand-vs-reserved/1131
https://spheron.network/blog/gpu-cold-start-llm-inference-2026/1141
https://spheron.network/blog/spheron-vs-lambda-labs/1141
https://spheron.network/blog/aws-gcp-azure-gpu-alternative/1171
What is shown
Published benchmark citations and public source connections only. Answer text is not published.

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