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178 articles
This explainer examines why public opposition to data centers powering AI technology is growing, exploring the technical, economic, and political factors driving this resistance.
Cloud infrastructure company Nscale has appointed former OpenAI executive Fidji Simo to its board ahead of a potential IPO, bringing extensive experience in AI scaling and tech leadership.
Learn to build a distributed AI compute resource management system that mirrors the capabilities of companies like Nscale, including resource tracking, allocation logic, and cloud deployment.
OpenAI's ChatGPT, xAI's Grok, and Anthropic's Claude all experienced simultaneous outages on Thursday, highlighting concerns about AI infrastructure reliability.
Learn how cloud computing deals like Anthropic's $35 billion agreement with Lambda help AI systems like Claude grow and become more powerful.
This explainer explores how specialized AI training infrastructure enables startups to achieve rapid growth and high valuations by dramatically improving computational efficiency and development speed.
Polimill partners with OpenAI to build Japan's next-generation public AI infrastructure, leveraging GPT models and Codex to streamline municipal administrative processes.
OpenClaw 2.0 introduces advanced architectural improvements for AI deployment, including optimized UI startup times, enhanced security through trust boundaries, and streamlined model setup processes.
Learn how to manage compute resources for AI workloads using cloud infrastructure providers like AWS, including instance management, cost monitoring, and auto-scaling techniques.
This article explains how leadership changes in AI infrastructure organizations like OpenAI reflect complex organizational dynamics that directly impact AI development, deployment, and operational efficiency. It explores the strategic implications of restructuring reporting lines and the critical role of specialized technical leadership in large-scale AI operations.
Meta AI introduces MetaRoCE, a new RDMA transport protocol designed to optimize networking for large-scale AI training and inference workloads.
This article explores the competitive landscape of GPU neoclouds in 2026, analyzing how providers like CoreWeave, Nebius, Lambda, Crusoe, and Groq differ in infrastructure, pricing, and market strategy.
