AI Factory

In my recent trilogy analyzing AI market concentration — “Is There An AI Concentration Crisis: When 42 Stocks Become the Entire Market,” “Why Enterprise AI Strategy Must Diverge From Hyperscaler …

This is not a cloud strategy debate. It is a financial calculation with specific inputs — utilization rate, workload profile, commitment horizon, and hidden operational costs — and most enterprises …

Language models run in discrete request-response cycles. Physical AI systems — robots, autonomous vehicles, surgical assistants — never stop. The GPU demand they generate is structurally different, and it is …

Lead times now stretch past a year. Hyperscalers have committed $630 billion in AI capex. CoWoS packaging capacity remains structurally oversubscribed. This is not a procurement inconvenience — it is …

In my recent trilogy analyzing AI market concentration—”Is There An AI Concentration Crisis: When 42 Stocks Become the Entire Market,” “Why Enterprise AI Strategy Must Diverge From Hyperscaler Playbooks,” and …

In my first blog , “Is There An AI Concentration Crisis: When 42 Stocks Become the Entire Market,” I revealed how 42 AI-related stocks have generated 65-75% of all S&P …

Let me start with a number that should make every CIO, CFO, and technology strategist stop what they’re doing: 42. In Douglas Adams’ cult classic The Hitchhiker’s Guide to the …

Building an AI Factory requires more than just infrastructure—it demands three critical capabilities that span all operational tiers, ensuring the system operates reliably, securely, and efficiently. These cross-cutting concerns form …

We have covered AI Factories in a previous blog the term “AI Factory” has evolved from buzzword to blueprint—a systematic approach to industrializing artificial intelligence at enterprise scale. Just as …