Nvidia

Stock performance

History

Nvidia was founded by Jensen Huang, Chris Malachowsky, and Curtis Priem to build graphics chips for video games, and its GeForce line made it the dominant name in PC gaming graphics through the 2000s. The pivotal shift came when researchers realized Nvidia's parallel-processing GPU architecture, originally built for rendering graphics, was extremely well suited to the matrix math behind machine learning. The company's CUDA software platform, first released in 2006, gave developers a way to program GPUs for general computing years before deep learning took off, and that early bet positioned Nvidia perfectly when the generative-AI boom arrived in the early 2020s.

Business model

Nvidia designs chips — it does not manufacture them, relying on foundry partners led by TSMC — and sells GPUs across gaming, professional visualization, automotive, and, now dominantly, AI data-center computing. The data-center segment, selling high-end AI training and inference chips to cloud providers and enterprises, has grown to dwarf its original gaming business. Nvidia's edge is reinforced by CUDA, which locks developers into its software ecosystem, and by system-level products that bundle chips, networking, and software rather than selling bare silicon.

Market position

Nvidia became one of the most valuable companies in the world during the AI boom and holds a dominant share of the market for AI training chips, far ahead of AMD and cloud providers' in-house chip efforts. Its position is powerful but not unchallenged: major customers like Amazon, Google, and Microsoft are all developing custom AI chips to reduce dependence on Nvidia, and US export controls restrict its most advanced chips from sale to China, cutting off a large potential market.

Country impact

Nvidia has become one of the most important single companies in the US stock market, and swings in its share price are often treated as a proxy for sentiment on the entire AI investment cycle. Its chips underpin the AI infrastructure buildout by American cloud providers, tying its fortunes closely to broader US technology capital spending, and it is a major source of high-value engineering employment in California even though its manufacturing footprint sits mostly overseas in Taiwan.