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Subcategory · AI Citation Index

GPU Cloud

GPU cloud is a duopoly with two consensus picks. Lambda and CoreWeave surface in more than half of buyer queries across ChatGPT, Claude, Gemini, and Perplexity—Lambda at 54%, CoreWeave at 51%—and both win more head-to-head comparisons than they lose. RunPod and Vast.ai hold the second tier: RunPod shows up in 44% of discovery prompts but loses most evaluation matchups, while Vast.ai captures 42% of discovery share and wins roughly half its comparisons. Oracle and Azure Machine Learning appear in a quarter of queries but rarely win when pitted against the specialists. This is a contested category—two brands trade the top slot by fractions, a handful of specialists split the next tier, and hyperscalers get cited but rarely picked.

178 discovery queries · 277 head-to-heads · refreshed Aug 16, 2026

Discovery stage

The shortlist

Across 178 buyer-style "GPU Cloud" queries

Lambda and CoreWeave each surface across all four engines in more than half of buyer queries about GPU cloud infrastructure—Lambda at 54%, CoreWeave at 51%. RunPod and Vast.ai hold consistent visibility just behind them, both appearing on every engine and in 44% and 42% of discovery prompts respectively. Oracle and Azure Machine Learning show up in roughly a quarter of queries across all four engines, while Nebius, Crusoe Cloud, and Hyperstack capture between 15% and 18% each.

8%22%37%51%65%Coverage — share of discovery prompts where the brand surfaces14%34%55%76%96%Engine diversity

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Google Cloud
6/6
2Stacks
4/6
3Lambda
3/6
4Amazon Web Services
3/6
5Microsoft
2/6
1Render
4/5
2Stacks
3/5
3Google Cloud
3/5
4Parsec
2/5
5Vmware
2/5
1CoreWeave
4/4
2Lambda
4/4
3RunPod
4/4
4Vast.ai
4/4
5Google Cloud
4/4
1CoreWeave
4/4
2Lambda
4/4
3RunPod
4/4
4Google Cloud
4/4
5Vast.ai
4/4
1CoreWeave
4/4
2Lambda
4/4
3RunPod
4/4
4Vast.ai
4/4
5Google Cloud
4/4
1CoreWeave
4/4
2Google Cloud
4/4
3Lambda
3/4
4Oracle
3/4
5Vast.ai
3/4
1RunPod
4/4
2Lambda
4/4
3CoreWeave
4/4
4Vast.ai
4/4
5Google Cloud
4/4
1Google Cloud
4/4
2AWS Batch
3/4
3Oracle
2/4
4Stacks
2/4
5Swarm
1/4
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · gpu-cloud

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 4/100

Lambda wins more head-to-head comparisons than it loses, scoring 66 across 48 matchups. CoreWeave sits just behind at 64 across 47 comparisons. RunPod and Vast.ai lose more often than they win—RunPod scores 48 across 35 head-to-heads, Vast.ai scores 45 across 33. Oracle and Azure Machine Learning rarely win when buyers ask AI to compare them directly against the specialists—Oracle scores 27, Azure 22.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand012243648Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 4/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

1000 citations captured across GPU Cloud prompt runs.

Vendor pages

376

Product, help, and marketing pages from tracked vendors

Independent sources

355

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top GPU Cloud questions

Buyers ask AI for GPU cloud options by pricing model and use case—phrasings like 'GPU cloud with reserved instance pricing', 'how can startups leverage GPU cloud for product development', 'software to facilitate collaborative machine learning projects remotely'. A roughly equal volume digs into head-to-head comparisons and task-specific fit: 'CoreWeave vs Lambda Labs for AI training', 'what kind of GPU cloud software do I need for rendering tasks', 'TensorDock vs RunPod for cheap GPU access'. The questions stay anchored to workload type and cost structure.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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