Nvidia: A Speculative Assessment

The company’s dominion stems from a fundamental architectural divergence. While the conventional x86 processors of the past were built for the sequential execution of tasks – a linear progression, much like the bureaucratic systems they often served – Nvidia’s GPUs embrace parallelism. They are designed to grapple with complexity, to dissect and conquer problems simultaneously. This aptitude has proven singularly well-suited to the demands of artificial intelligence, where the sheer volume of calculations necessitates a different order of processing. The result is a near-monopoly – over ninety percent of the discrete GPU market – and a dependence fostered through CUDA, its proprietary programming platform, a subtly coercive architecture that binds client companies to its ecosystem.







