Key facts
- Nvidia began as a graphics chip maker before pivoting to AI infrastructure
- Its GPUs are the primary hardware used to train large AI models globally
- Nvidia is described as the world's most important company in the AI era
- India's AI build-out depends significantly on access to Nvidia hardware
Nvidia's journey from a niche graphics card manufacturer to the world's most important company is one of the most remarkable corporate transformations in modern history. Once known primarily to gamers and graphics designers, the company's specialised processors — originally built to render video game visuals — turned out to be uniquely suited to the parallel computing demands of artificial intelligence, placing Nvidia at the centre of the biggest technology wave since the internet.
The company's graphics processing units, or GPUs, have become the defining hardware of the AI era. Training the large language models that power tools like ChatGPT, Google Gemini, and a growing roster of Indian AI applications requires enormous clusters of these chips, and Nvidia has no peer in supplying them at scale or performance. This bottleneck position has given the company extraordinary leverage over the pace and direction of global AI development.
India Today's profile underscores how Nvidia's rise reflects a broader shift in where value is created in the technology industry — not in the software layer alone, but in the physical infrastructure beneath it. Nations and corporations scrambling to build AI capability must first secure Nvidia hardware, giving the company a geopolitical weight that few private businesses have ever wielded.
For India, which is investing heavily in building sovereign AI infrastructure and nurturing a domestic AI ecosystem, Nvidia's position is both an opportunity and a dependency. Indian cloud providers, startups, and research institutions all operate within an architecture that Nvidia largely controls — a reality that will shape the country's AI ambitions for years to come.