From Model to Service: The Infrastructure Stack That Makes AI Work at Scale
Deploying an AI model is no longer just a software task. It is a systems problem spanning GPUs, networking, inference optimization, observability, and the…
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data centers
The New Deal for Work: AI, Productivity, and the Hard Limits of Automation
AI is changing what work looks like faster than most institutions can adapt. The real question is not…
Why Google Still Matters in AI
Google no longer owns the AI conversation by default, but it still controls some of the deepest infrastructure,…
3nm and 2nm Chips: The New Limits of Density, Power, and Cost
The next two logic-node generations promise more transistors in less space, but the real story is where that…
Inside the AI Factory: What Infrastructure Really Costs, Moves, and Limits
AI infrastructure is the physical and software stack that makes models usable at scale: chips, servers, networks, storage, power, cooling, and the orchestration layer…
The Hidden Cost of Missing Chips
Chip shortages do more than delay gadgets. They ripple through factories, logistics networks, auto production, cloud infrastructure, and national industrial policy, turning a supply-chain…
Intel’s AI Catch-Up Plan Runs Through Foundry, Packaging, and Price
Intel is no longer pretending AI will be won by compute alone. Its strategy now hinges on foundry capacity, advanced packaging, and a pricing…
Regulating AI Means Choosing Where the Risk Goes
Governments are no longer debating whether to regulate AI, but where the burden should fall: on frontier model developers, downstream deployers, or the public…
Google’s AI Position Says More About the Market Than the Hype
Google is still one of the few companies that can shape AI across the stack: chips, cloud, models, search, and distribution. That makes it…
Google’s AI Playbook: Scale, Search, and the Hard Economics of Compute
Google is competing in AI by turning model development, product distribution, and custom silicon into one operating system. That strategy is powerful, but it…