Architecting AI at Scale: Technical Patterns and Platforms

Rajnish Harjika

Chapter Chapter 5 in Architecting Enterprise AI Strategies, 2026, pp 135-164 from Springer

Abstract: AbstractEvery architecture begins with a question of weight: How much intelligence can the earth bear, and at what cost? For years, we have spoken of artificial intelligence as if it lived in the air, an ethereal code moving freely through invisible clouds. But intelligence, in its enterprise form, is material. It draws water, consumes power, and occupies land. It hums in the night through transformers and cooling towers. The farther we scale it, the more it demands from the world that sustains it. This chapter enters that physical terrain, that is, the architecture beneath cognition. Where earlier chapters examined data, governance, and ethics as the logic of enterprise AI, we now confront infrastructure as its body. The story of scale moves through growth into gravity, tracing the slow, irreversible pull of ambition toward matter.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-2219-3_5

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DOI: 10.1007/979-8-8688-2219-3_5

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