Browsing Tag
AI Infrastructure
16 posts
Chips, cloud, data centers, networking, and power infrastructure behind AI systems.
Anthropic’s $19B TeraWulf Lease Turns Old Industrial Power Into AI Compute
Anthropic has signed a 20-year lease for roughly 401 megawatts of AI data center capacity at TeraWulf’s Justified Data campus in Hawesville, Kentucky. The deal shows how AI labs are moving beyond ordinary cloud rentals and locking up power-heavy industrial sites years before capacity comes online.
Stargate UK Turns AI Data Center Promises Into a Credibility Test
Fresh reporting on OpenAI's paused Stargate UK project shows why AI data center announcements now need harder questions about power, planning, signed offtake, and local coordination before investors, governments, and customers treat headline capacity as real infrastructure.
UN AI Report Turns Governance Into a Compute and Capacity Test
The UN’s first global scientific AI assessment warns that governance is now tied to compute access, local expertise, language coverage, and real-world model evaluation. The report arrives before the July 6-7 Global Dialogue on AI Governance in Geneva.
Hong Kong’s AI Chip Trade Boom Turns Logistics Into a Policy Risk
Hong Kong re-exported $124 billion in semiconductors to mainland China in the first five months of 2026, according to Bloomberg’s review of official data. The city’s rising role as an AI-chip gateway shows why logistics, payments, and export-control exposure now matter as much as chip supply itself.
Micron’s Hiroshima HBM Expansion Shows AI Memory Is the Next Supply Fight
Micron has broken ground on a roughly $9.3 billion Hiroshima expansion that will produce high-bandwidth memory for AI processors, with shipments expected around summer 2028. The timing shows why memory, not just GPUs, has become a strategic bottleneck for AI infrastructure buyers.
SoftBank SB Neo Turns AI Cloud Capacity Into a 10-Gigawatt Race
SoftBank has formed SB Neo, a U.S.-based neocloud company meant to supply AI chips and cloud services to model developers and large enterprises. The plan, tied to SoftBank's 10-gigawatt AI infrastructure target by 2030, shows how AI compute is shifting from scarce GPU rental toward vertically managed infrastructure businesses built around power, chips, networking, and operations.
Meta Compute Would Turn AI Oversupply Into a Cloud Business
Meta is reportedly developing a cloud infrastructure business that would sell AI compute and hosted model access. The plan is not final, but it shows how Big Tech’s AI data-center spending is starting to look like a market of its own.
Pax Silica Summit Turns AI Policy Into a Supply Chain Race
The second Pax Silica Summit brought 35 countries behind an AI Opportunity statement and expanded the U.S.-led supply-chain initiative to 24 signatories. The move shows AI policy shifting from abstract model rules toward chips, energy, critical minerals, data centers, logistics, and manufacturing capacity.
Groq’s $650M Raise Makes AI Inference the New Cloud Fight
Groq raised $650 million to expand its AI inference cloud, with 13 data centers, more than five million developers, NVIDIA LPX integration, and a 200 MW capacity target by the end of 2027. The deal shows why serving AI models is becoming its own infrastructure market, separate from the training race.
Apple-Intel Chip Claim Puts Intel Foundry’s 18A-P Test in Public View
President Trump says Apple has agreed to work with Intel on U.S.-made chips, but Apple and Intel have not announced a signed foundry deal. The real test is whether Intel’s 18A-P process can move from risk production to Apple-grade yield, volume, and product trust.