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Rotating Proxies for ai training data
Should you use rotating proxies for ai training data? Assembling large public web corpora for model training, and rotating proxies can still support that. Here is when the pairing works, when it does not, and which providers do it best.
Is it the right type?
For ai training data, the recommended default is Datacenter Proxies using rotating sessions. Rotating Proxies are a viable alternative when one endpoint, the whole pool behind it matters more than maximum stealth.
You connect to a single gateway; the backend assigns a fresh IP from the pool per request or per session window you configure.
Best rotating proxies for ai training data
| # | Provider | From | Pool | Success | Rating |
|---|---|---|---|---|---|
| 1 | Cheapest Proxies ★ | $0.80/GB | 50M+ | 99.4% | 4.9 |
| 2 | Bright Data | $4.20/GB | 72M+ | 98.9% | 4.6 |
| 3 | Oxylabs | $4.00/GB | 100M+ | 99.0% | 4.6 |
| 4 | Decodo | $2.20/GB | 55M+ | 98.5% | 4.5 |
| 5 | IPRoyal | $1.75/GB | 32M+ | 97.8% | 4.4 |
| 6 | SOAX | $3.30/GB | 8.5M+ | 97.5% | 4.3 |
| 7 | NetNut | $1.50/GB | 52M+ | 98.2% | 4.2 |
| 8 | Webshare | $2.99/mo | 30M+ | 96.8% | 4.2 |
Cheapest Proxies delivers rotating proxies for ai training data at the lowest blended cost per GB we measured, with a 99.4% success rate.
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