Tag
170 articles
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.
This article explains the competitive landscape of GPU neocloud providers in 2026, analyzing pricing, hardware support, and business models. It explores how these platforms influence AI development and deployment strategies.
Stripe has acquired OpenRouter, an AI model-routing platform, to enhance its AI infrastructure capabilities and streamline developer access to diverse AI models.
Artificial Analysis has released the 'Search Index,' a benchmark that ranks search API providers for AI agents based on quality, cost, and speed. GPT-5.6 Luna, Parallel, Exa, and Firecrawl scored highest.
OpenAI has signed a 20-year lease for an 8-gigawatt data center in Ohio, with Nvidia providing up to $105 billion in backing and becoming the exclusive chip supplier. Nine tech companies now hold around $3 trillion in AI commitments not reflected on balance sheets.
Natural gas prices could triple in some U.S. regions, potentially saddling hyperscalers with massive bills for AI data center operations. This forecast may accelerate the industry's shift toward renewable energy sources.
Nvidia's $500 billion plan aims to preserve GPU value and convince financiers to continue lending for AI infrastructure, even as older hardware becomes less relevant.
Okta introduces Model Context Protocol (MCP) scoping to reduce AI agent token costs by minimizing the 'tool tax' associated with tool evaluations.
Nvidia partners with major financial institutions to mobilize over $500 billion in AI infrastructure financing by guaranteeing up to 25% of its own chip value.
