Building the AI Economy Converge Digest tracks the global build-out of AI infrastructure—from hyperscale AI factories and sovereign AI initiatives to GPU cloud providers, power systems, networking and optical infrastructure. We follow the investments, technologies and architectures redefining digital infrastructure worldwide. |
Technology Pillars AI Factories ›Hyperscalers ›GPU Clouds ›Sovereign AI ›Data Centers ›Data Center Networking ›Power Infrastructure › |
Key Players NVIDIA ›Microsoft ›Google ›Amazon ›Meta ›Oracle ›CoreWeave ›xAI ›OpenAI ›Equinix ›Digital Realty ›NTT DATA › |
| Tracking: Scale-Up • Scale-Out • AI Campuses • AI Infrastructure Investment • National AI Strategies • AI Economics • Ultra Ethernet • InfiniBand • Optical Networking • Fiber Infrastructure • Energy • Rack-Scale Systems • DCI |
LandBridge Company has signed a lease development agreement with PowerBridge to support a proposed 2 GW powered data center campus in Reeves County, Texas, marking another large-scale infrastructure project tied...
SharonAI Holdings Inc. announced a five-year AI cloud infrastructure agreement valued at $1.25 billion with ESDS Software Solutions Ltd., marking a significant expansion of its GPU-based cloud services footprint. The...
Rebellions secured $400 million in a pre-IPO funding round led by Mirae Asset Financial Group and the Korea National Growth Fund, bringing total funding to $850 million and valuing the company at approximately...
OpenAI said it closed a $122 billion funding round at an $852 billion post-money valuation, giving the company another large capital base to expand AI infrastructure, product development, and enterprise...
Crusoe announced plans to build a new 900 MW AI factory campus in Abilene, Texas, expanding its infrastructure footprint to support large-scale AI workloads for Microsoft. The new development will sit...
Speaking at last week’s Optica Executive Forum, Microsoft’s Yawei Yin, Senior Principal Network Developer, outlined the growing need for what he described as “scale-across” networking in AI infrastructure: distributed systems...
NVIDIA is introducing a new data pipeline architecture centered on its BlueField-4 DPU platform, aimed at eliminating one of the most persistent constraints in large-scale AI systems: inefficient data movement...
At GTC26, Crusoe announced an expansion of its AI infrastructure platform, combining NVIDIA GPU deployments with an energy-focused data center strategy designed to address power constraints in large-scale AI systems....
At GTC26, Lambda announced new AI cloud infrastructure offerings, featuring next-generation GPU deployments designed to support training and inference workloads. The company continues to focus on providing accessible, high-performance AI...
CoreWeave confirmed continued expansion of its AI cloud platform at GTC 2026, adding new capacity based on NVIDIA Blackwell GPUs and extending its regional footprint to support growing demand for...
NVIDIA announced a $2 billion strategic investment in AI infrastructure company Nebius aimed at accelerating the deployment of large-scale GPU cloud capacity designed for AI training and inference workloads. The...
Equinix introduced a platform called Distributed AI Hub designed to help enterprises connect directly to AI infrastructure across multiple locations and cloud environments. The company said the platform is intended...
Thinking Machines Lab, an AI research company founded by former OpenAI CTO Mira Murati, announced plans to deploy large-scale AI infrastructure built on NVIDIA’s accelerated computing platform to support development...
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