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...
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...
Professional foreign proxy ip service provider-IPIPGO
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 -...
Web3.0 Data Capture Proxy IP Technical Requirements
In Web 3.0 ecology, from NFT transaction records to smart contract invocation logs, the real-time collection of massive data directly affects the efficiency of project decision-making. In this paper, we will take a hands-on ...
Blockchain Data Collection Solution: Distributed Proxy Pool for High Frequency Requests
In the field of blockchain data collection, stability and data security under high-frequency requests are the core challenges. In this paper, we will start from the practical application scenarios and analyze how the distributed generation ...
Deep learning data collection: distributed agent pooling to cope with image captchas
When data collection hits image CAPTCHA, how does proxy IP break the game? In the process of deep learning model training, the most headache problem when collecting massive data is encountering website...
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...
Cross-border e-commerce tax declaration: multinational agent IP data collection practical guide
The biggest headache of doing cross-border e-commerce is dealing with tax rules of different countries. The tax rates and filing processes in the U.S., EU, and Southeast Asian countries are vastly different, and manually collecting data is not only...
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