[2025 Guide] Why AI Big Model Training Needs Proxy IP? Technical Analysis and Application Scenarios

Why do you need a "real data channel" for AI large model training?

In the last two years, AI model training has an obvious pain point: the algorithm team spent months developing the model, but because the training data is not enough "grounded" leading to a big discount. An e-commerce company's intelligent customer service program has encountered this situation - the model trained with open network data, in the face of real user questions, the accuracy rate directly from the test 92% plummeted to 67%.

the problem is...Limitations of data collection: Ordinary crawlers are easy to be recognized by the target site blocking, many key data simply can not be picked. This time you need to use proxy IP to establishReal user access linksIt's like putting an "invisibility cloak" on the data collector to bring the training data closer to real-world scenarios.

Three Practical Values of Agent IP in AI Training

In real projects, we have observed that proxy IPs primarily solve these core problems:

Real Case: How Proxy IP Optimizes the Training Process

When a smart driving R&D team collects road data, the maximum number of valid images collected per day is 2,000 using an ordinary enterprise IP, and 50% requests will be intercepted. Change to ipipgo'sDynamic Residential IP ServiceAfter:

1. Daily collection volume increased to 8500+ sheets
2. Expansion of photo scene coverage from 3 types of cities to 12 types of areas
3. Decrease in data labeling error rate 37%

The key lies in the residential IP'sReal-life usage features, making it impossible for the data source website to distinguish whether it is a real user visit or data collection behavior.

Technical Adaptation Program for ipipgo

Based on our experience serving 42 AI organizations, this is how we recommend choosing a proxy IP type:

Initial data exploration phase: Test Multiple Data Sources Quickly with Dynamic IP Pools
Mass collection period: Static Residential IP + Intelligent Dispatch System
Long-cycle training programs: Mix of dynamic IP and exclusive ISP resources

Like ipipgo's.Intelligent Routing System, you can automatically switch the IP type according to the anti-crawl strength of the target website. An NLP team used this feature to reduce IP cost by 68% while maintaining the same collection volume.

Frequently Asked Questions

Q: Why do I have to use a residential IP, and can't I use a data center IP?
A: 79% of the top 10,000 Alexa ranked websites in 2024 deployed data center IP identification systems. It is the real-life usage characteristics of residential IPs that are the key to breaking through modern anti-crawl mechanisms.

Q: How to choose between dynamic IP and static IP?
A: It is recommended to start with ipipgo'sFree Trial PackageTesting: Choose dynamic IPs for those that require frequent identity changes (e.g., social data collection) and static IPs for those that require stable sessions (e.g., video streaming analysis).

Q: How to avoid IP blocking?
A: three core points: 1. set a reasonable request interval 2. with the browser fingerprint camouflage 3. use ipipgo'sautomatic fusing mechanism(Automatic switching when an IP triggers an alarm)

Why do professional teams choose ipipgo?

The core advantage of having 17 AI big model projects choosing our services in the last six months is:
1. Real Residential IP Resources: 90 million+ home broadband IPs covering 240+ countries and regions
2. Protocols are fully compatibleSupport for all major protocols such as HTTP/Socks5 without the need to modify the existing architecture.
3. Intelligent Dispatch System: Automatic matching of optimal IP types with industry-leading request success rates

Especially ourRegional customization services, which can filter IPs by latitude and longitude ranges, which is particularly useful for AI training projects that require region-specific data. For example, a cross-border company's merchandise identification model captures real local shelf display data by targeting residential IPs in 10 specific cities.

It is recommended that teams that are preparing an AI project to apply for firstipipgo free trial packageThe actual test of the proxy IP on the data quality of the impact. Many customers feedback that just by changing the data collection channel, the model effect is significantly improved - this may be more direct and effective than adjusting the algorithm parameters.