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91 articles
This article explains how AI startups scale their infrastructure on AWS, covering GPU computing, model optimization, and orchestration techniques.
Meta has signed its first India data centre deal with Reliance Industries, leasing a 168MW AI-ready facility in Jamnagar, Gujarat.
This article explores the $2 trillion AI infrastructure problem, focusing on the operational challenges and solutions in maintaining large-scale AI compute clusters.
Super Micro plans to raise $7 billion to fulfill $39 billion in AI server orders, signaling strong market demand for advanced computing infrastructure.
This explainer explores the role of custom AI chips in accelerating machine learning workloads and how the competition for chip engineering talent reflects the strategic importance of hardware in the AI industry.
This article explains how AI chips are in high demand, and how big companies like Google are renting them from SpaceX. It shows how crucial computing power is for AI and how scarce these resources have become.
AirTrunk, backed by Blackstone, plans a $30 billion investment in India's data center infrastructure by 2030, signaling the country's rising importance in the global AI landscape.
Foxconn, Intel, and SambaNova have joined forces to build next-generation rackscale AI infrastructure, signaling a shift from traditional GPU-heavy to more balanced CPU-GPU architectures.
Megaport raises A$827M to build a distributed AI cloud and target the inference market, marking a strategic shift from a connectivity provider to an AI infrastructure company.
The European Union’s €20 billion plan to build five AI gigafactories is facing delays and funding uncertainties, with only two of five planned centres able to receive financial support.
OpenAI begins construction on a 1GW data center in Michigan as part of its Stargate initiative, aiming to build AI infrastructure while creating jobs and supporting local communities.
STMicroelectronics has nearly doubled its 2026 data-center revenue forecast to $1 billion, citing strong AI infrastructure demand and faster-than-expected capacity ramp.
