The computational “law” that made Nvidia the world’s most valuable company is starting to break down. This is not the famous Moore’s Law, the semiconductor-industry maxim that chip performance will increase by doubling transistor density every two years.
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 ...
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 that he likes 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,
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.
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.
The advent of generative AI models has allowed us to create that which does not exist. Whether it's an image that came to you in a dream or ideas for a dinner party you forgot to plan, all you have to do is ask the right model. Nvidia's latest AI demo ...
In the world of generative artificial intelligence (AI), the scrap between Elon Musk and Sam Altman is in the same league. It is both silly and captivating. Silly because they insult each other, try to discredit each other’s chatbots and fight over who meant what almost a decade ago when they co-founded OpenAI .
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.