Browsing Tag
AI Infrastructure
23 posts
Chips, cloud, data centers, networking, and power infrastructure behind AI systems.
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.
FERC Gives AI Data Centers a Faster Path to the Grid
FERC ordered six regional grid operators to justify or revise their rules for connecting data centers and other large power users. The move could speed AI infrastructure projects, but it puts cost allocation, flexible loads, and state oversight under a sharper deadline.
HPE Turns Juniper Into the Network Layer for AI Factories
HPE used Discover 2026 to fold Juniper deeper into its AI data center strategy, adding QFX switches for inference and AMD Helios, Mist and Marvis AIOps updates, and SASE controls for self-driving networks.
Google’s $1.5B Alabama Data Center Expansion Puts AI Power Costs on Display
Google is spending $1.5 billion to expand its Jackson County, Alabama data center campus while promising to cover its own power and infrastructure costs. The deal shows how AI infrastructure growth is becoming a fight over electricity bills, grid upgrades, nuclear power, and local energy programs.