AI Trends

The $2 Million Question: Why Our Multimodal Training Budget Went 40% Over (And It Wasn't GPUs)

We budgeted carefully. Compute allocation for 512 H100s running 24/7 for six months. Storage for 5 petabytes of raw and processed video.

Building a Petabyte-Scale Video Corpus for Multimodal LLMs: The Infrastructure Nobody Talks About

Everyone discusses transformer architectures. Few discuss the plumbing that feeds them.

From Sora to Cosmos: The Hidden Infrastructure Behind Physical AI Training Data

The world model race isn't about who has the best architecture. It's about who can feed their model the world without getting shut down.

Training World Models at Scale: How Residential Proxies Enable Petabyte-Scale Video Data Collection

NVIDIA Cosmos trained on 20 million hours of video. Your world model needs similar scale. Here's the infrastructure that makes it possible.

Residential Proxies for AI Data Collection: A Practical Setup Guide

A practical guide to residential proxies for AI data collection, covering proxy setup for LLM training data, web scraping for AI, and scalable machine learning workflows.

Thordata Residential Proxy: The Ultimate Guide to AI-Powered Data Collection and Web Scraping Success

I’ll write a comprehensive, SEO-optimized blog article for Thordata.com. Let me first research the website to understand their services and positioning, then craft the article.

What Is AI Scraping? How It Works and Common Uses

This article explains what AI scraping is, how it works under the hood, where it is most useful, and what limitations and best practices organizations should consider.

Flowise vs n8n: AI Agents Tool Compared

This in-depth comparative analysis will reveal which is superior, n8n vs Flowise, when your core objective is to build production-grade AI agents.

AI Proxy: How It Works, and Best Practices

This article delves into the types of AI agents, their applications, and how they are shaping the future of automation and machine learning.