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Data as of Oct 18, 2026Based on 114 AI responses
Reviewed by Dimitry Apollonsky
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | community cloud instances offering a balance of low cost and reliability | community cloud instances offering a balance of low cost and reliability | 100% |
| 2 | a peer-to-peer marketplace delivering the absolute lowest rental prices | a peer-to-peer marketplace delivering the absolute lowest rental prices | 98% |
| 3 | polished on-demand enterprise GPUs with competitive hourly rates for AI | polished on-demand enterprise GPUs with competitive hourly rates for AI | 85% |
| 4 | hyperscaler infrastructure cited as a pricier baseline for GPU workloads | hyperscaler infrastructure cited as a pricier baseline for GPU workloads | 53% |
| 5 | established enterprise cloud compared unfavorably on price for budget fine-tuning | established enterprise cloud compared unfavorably on price for budget fine-tuning | 51% |
| 6 | specialized high-performance infrastructure built for large-scale GPU workloads | specialized high-performance infrastructure built for large-scale GPU workloads | 29% |
| 7 | major cloud platform noted for higher costs during budget model training | major cloud platform noted for higher costs during budget model training | 28% |
| 8 | traditional cloud provider regularly contrasted with cheaper specialized marketplaces | traditional cloud provider regularly contrasted with cheaper specialized marketplaces | 28% |
| 9 | cost-effective high-end H100 and H200 instances for AI training | cost-effective high-end H100 and H200 instances for AI training | 19% |
| 10 | marketplace aggregating diverse data center capacity for low-cost virtual machines | marketplace aggregating diverse data center capacity for low-cost virtual machines | 18% |
| 11 | 15% | ||
| 12 | 12% | ||
| 13 | 8% | ||
| 14 | 6% | ||
| 15 | 6% |
What’s changing · since July
Since July, TensorDockfalling has dropped noticeably across the market and is now named occasionally for cheap GPU instances.
Weeks of Aug 3 – Sep 6, 2026 · Since Jul 5
Widest split: Microsoft Azure, 70% on ChatGPT Search and 32% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| RunPod | 100% | 100% | |
| Vast.ai | 98% | 98% | |
| Lambda | 79% | 91% | |
| AWS | 65% | 40% | |
| Microsoft Azure | 70% | 32% | |
| CoreWeave | 40% | 18% | |
| Google Cloud Platform | 40% | 16% | |
| Google Cloud | 33% | 23% | |
| GMI Cloud | Outside ChatGPT Search's top 25 | 39% | |
| TensorDock | 14% | 21% |
55% of citations point at the ranked brands’ own sites. reddit.com, jarvislabs.ai, youtube.com are the most-cited sites outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
What is the best cloud provider for renting GPU instances for fine-tuning a large language model on a budget?
I am looking for a fine-tuning platform that charges per hour and does not take a percentage of revenue.
