Big data collection must: high concurrency crawler agent IP pool API interface service
Last year, when a travel platform crawled the price data of its competitors, it triggered 213 anti-climbing interceptions in a single day - not that the technology was not strong enough, but that it ignored the IP behavioral portrait. Modern anti-climbing system will record: the same IP request frequency, access time pattern, device fingerprint combination, when these features form a machine behavior model...
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, IP blocking and geographical restrictions frequently encountered in the process of data collection have become bottlenecks restricting the development of AI. In this paper, we will combine the technical characteristics of ipipgo, a global proxy IP service provider, from ...
Professional foreign proxy ip service provider-IPIPGO
IPIPGO Dynamic IP Pool Technology: A Practical Solution for IP Blocking in AI Large Model Training
AI训练数据采集的死亡陷阱：IP封禁率97%的真相 某AI公司训练法律大模型时，连续3天被Westlaw封禁182个IP，导致30万条关键数据报废。传统机房IP的规律性请求特征（如同步时间戳、固定间隔访问）会被反爬系统…
Enterprise AI R&D Must See: Proxy IP Selection Guide and IPIPGO Technology Advantages Comparison
企业级AI研发为什么绕不开代理IP？ 某头部AI公司曾因训练数据不足，尝试抓取公开科研数据时遭遇连续封IP，导致20人的算法团队停工两周，直接损失超80万元。这个真实案例暴露出企业级AI研发的致命痛点——数据…
AI large model training cost optimization: how proxy IP can improve data crawling efficiency and success rate?
为什么数据抓取效率会直接影响AI训练成本？ 做AI大模型训练的朋友都清楚，数据质量决定模型效果，但很多人忽略了一个关键点——获取数据的成本可能吃掉整个项目预算的30%以上。举个真实案例：某创业团队在抓取…
AI Training Data Collection: A Guide to Designing a 10 Million Agent Pool Architecture
当你发现训练AI模型的公开数据中，90%的内容都来自相同地区的用户时，或者每次大规模采集数据都被网站封禁IP——这说明你的代理池架构需要重构了。本文基于真实企业案例，揭秘如何用ipipgo住宅代理IP搭建高效…
Web3.0 Data Capture Proxy IP Technical Requirements
在Web3.0生态中，从NFT交易记录到智能合约调用日志，海量数据的实时采集直接影响项目决策效率。本文将以实操视角，解析如何通过ipipgo的代理IP技术搭建合规高效的数据抓取系统。 一、Web3.0数据抓取的三大特…
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 analyze how to realize efficient and compliant data collection through distributed proxy pool technology combined with the solution of professional service provider ipipgo from the practical application scenario. First, blockchain data ...
Deep learning data collection: distributed agent pooling to cope with image captchas
当数据采集撞上图片验证码，代理IP如何破局？ 在深度学习模型训练过程中，采集海量数据时最头疼的问题就是遭遇网站验证码拦截。特别是动态生成的图片验证码，既无法用固定规则破解，又会大幅降低采集效率。…
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 Proxy IP In the development of AI big models in 2025, cross-country data collection and distributed training have become a mainstream demand. However, developers often face two major challenges: training interruptions due to unstable network environments, and data bias triggered by frequent IP blocking. Example...
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