Proxy IP in AI training: anti-backtracking strategy for multi-source data collection
In today's rapid development of AI technology, model training puts higher requirements on the quality and diversity of data. However, the data collection process frequently encounters IP blocking,...
IPIPGO Dynamic IP Pool Technology: A Practical Solution for IP Blocking in AI Large Model Training
The Death Trap of AI Training Data Acquisition: the Truth About the IP Block Rate of 971 TP3T An AI company training a large model of the law was blocked for 3 consecutive days by Westlaw for 1...
Professional foreign proxy ip service provider-IPIPGO
Enterprise AI R&D Must See: Proxy IP Selection Guide and IPIPGO Technology Advantages Comparison
Why Enterprise AI R&D Can't Get Around Proxy IPs A headline AI company once encountered continuous IP blocking when trying to capture public research data due to insufficient training data, leading...
AI large model training cost optimization: how proxy IP can improve data crawling efficiency and success rate?
Why does data capture efficiency directly affect AI training costs? Those who do AI large model training are well aware that data quality determines model effectiveness, but many people ignore the...
AI Training Data Collection: A Guide to Designing a 10 Million Agent Pool Architecture
When you realize that 90% of the public data used to train AI models are from users in the same region, or that every time you collect data at scale, you get your IP blocked by the website -...
Essential for distributed AI training: an in-depth look at proxy IP's anti-crawler practices for large model iterations
When AI Training Meets Anti-Crawler: The Value of Proxy IP Suddenly Appears Last year when a head AI lab was training a large multimodal model, their data collection system suddenly...
[2025 Guide] Why AI Big Model Training Needs Proxy IP? Technical Analysis and Application Scenarios
Why AI large model training needs "real data channel"? In the last two years, there has been an obvious pain point in AI model training: algorithmic teams have spent months developing models that...
2025 AI Big Model Developers Must Read: IPIPGO-Based Cross-Country Training Node Deployment and Risk Control Practices
I. Core Challenges of Cross-Country Training Nodes and the Value of Agent IP In the development of AI big models in 2025, cross-country data collection and distributed training have become a mainstream need...
Proxy IP vs. computational power consumption: a data acquisition cost optimization model for AI large model training
When AI Meets Data Collection: The Hidden Black Hole in Training Costs An AI team has recently encountered something strange: the GPU cluster for training large models idles for 8 hours a day, and the operation and maintenance...
Why AI Big Model Training Needs Proxy IPs?Revealing the Key to Data Crawling
2025 an e-commerce platform AI customer service training suffered a bottleneck - the model is always the Mexican user inquiries "taco seasoning”...
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