This company could be a great pick for investors seeking to profit from the next wave of AI. In Nvidia's third-quarter earnings conference call on Nov. 20, Huang stated, "The next wave of AI are [sic] enterprise AI and industrial AI." He added ...

Big Tech is buying up Nvidia chips to train ever-larger AI models. As technology evolves, the spoils may spread to AMD, Intel, and start-ups.

CEO Elon Musk’s aggressive pursuit of artificial intelligence chips for his supercomputer has pushed Nvidia (NVDA) to its production limits.

Nvidia CEO Jensen Huang said he liked to "torture" his AI in order to learn things. Here are five follow-up questions he uses.

Last week, Nvidia Corporation (NASDAQ: NVDA) issued its third quarter results, topping both sales and earnings estimates as well as posting a better-than-expected current quarter guidance as its end-customers,

Nvidia's journey to a $3.53 trillion market cap showcases its evolution from a GPU powerhouse to a leader in AI and data center innovation, overcoming challenges like supply chain disruptions and capitalizing on the AI revolution to drive unprecedented growth post-COVID.

Musk’s xAI and Meta are among those building super clusters of computer servers with as many as 100,000 of Nvidia’s most advanced chips.

A Nvidia sales lead said in an email to colleagues that Musk's demand for chips was straining the company's supply chain, per The Wall Street Journal.

The job of an NPU is to accelerate tasks related to artificial intelligence and machine learning applications. Examples (several pictured above) include identifying people and objects in images, text and image generation, converting speech to text, real-time translation, and predicting the next word you may want to type.

Even as the United States pursues a tougher trade policy towards China, the latest indication being the tightening of export restrictions on advanced AI chips, companies from the Asian country