Nvidias rivals are circling, but theyre still years from catching up Yahoo Finance
News Source : Yahoo Entertainment
News Summary
- The second is putting those models into practice so that people can use them to do things like generate a specific output you want, whether that’s in the form of a text, images, or something else entirely..
- Its high-powered graphics processors, which are perfect for training AI models and putting them to work, are in such demand that getting them is a task all its own.In June, with the AI craze in full swing, Nvidia’s market cap eclipsed the $1 trillion mark..
- They can be used for a litany of different AI-related tasks, ensuring that whatever a company needs, the chips can handle it.ASICs, on the other hand, are masters of a single trade..
- The company’s Cuda software, which developers use to create AI platforms, is just as important to Nvidia’s staying power.“Software continues to be Nvidia's strategic moat,” explained Gartner VP analyst Chirag Dekate..
- They’re built specifically for a company’s own AI needs and often are more efficient than the graphics processing units from Nvidia, AMD, and Intel.That’s a problem for Nvidia, as hyperscalers are huge spenders when it comes to AI GPUs..
- So even if Nvidia’s market share takes a hit, its revenue will continue to increase as the AI space booms.Daniel Howley is the tech editor at Yahoo Finance..
Nvidia (NVDA) is the AI king. Its share of the global AI chip market is estimated at anywhere between 70% and 90%. Its highpowered graphics processors, which are perfect for training AI models and p [+4170 chars]