Chief Executive Officer of Nvidia Corp. Jensen Huang has announced a range of new chips, software and services, aiming to stay at the forefront of artificial intelligence computing.
Huang took the stage at a packed Las Vegas arena to kick off CES on Monday and unveiled a new lineup, offering a vision of how artificial intelligence will spread throughout the economy. The company wants its products to be the heart of a future technological world with a billion humanoid robots, 10 million automated factories and 1.5 billion self-driving cars and trucks.
Interest in Nvidia’s products and Huang’s predictions has exploded as companies rush to introduce new AI computing equipment. The CEO spent more than 90 minutes outlining Nvidia’s products and strategy to an audience of hundreds, including ties to Toyota Motor Corp. and MediaTek Inc. which caused their shares to rise by more than 3%.
Even before Huang’s presentation, shares of the Asian chip supplier rose on optimism about Nvidia’s prospects, whose shares had just hit an all-time high. Microsoft Corp. announced last week that it plans to spend $80 billion building its AI data center, much of which will be spent with Nvidia.
Shares of Nvidia rose 1.5% in premarket trading on Tuesday. Shares rose 3.4% to $149.43 in New York on Monday and are up about 204% over the past 12 months.
Before his keynote on data center technology, Huang offered some takeaways for his traditional audience: gamers. Nvidia is rolling out an update to its GeForce GPUs — short for graphics processing units — that are created with the same Blackwell design the company uses in its AI accelerators, Huang said.
He also introduced what Nvidia calls Cosmos foundation models that generate photo-realistic video which can be used to train robots and self-driving cars at a much lower cost than using conventional data.
By creating so-called “synthetic” training data, the models help robots and cars understand the physical world similar to the way that large language models have helped chatbots generate responses in natural language.
The new GeForce 50 series cards will take advantage of Blackwell’s capabilities to create even more realistic experiences for PC gamers, the company said. While traditional graphics chips build an image by calculating the shade of each pixel in the image, the new technology will rely more on AI to predict what the next frame should look like.
“GeForce made AI reach the masses, and now AI is coming home to GeForce,” Huang said during the presentation.
The flagship RTX 5090 will be available later this month for $1,999, with less powerful cards to follow later. The RTX 5070, which costs $549, will debut in February with better performance than the previous top model, the RTX 4090, Nvidia said.
Back in 2022, gaming was Nvidia’s biggest source of sales. Now, the chipmaker’s data center operation is far larger. It’s on track to contribute more than $100 billion this year, as the company’s accelerator chips are prized by the world’s biggest tech companies. The next step is to introduce the hardware and software to a wider range of business and government agencies, which helps diversify Nvidia’s revenue.
Huang announced that Toyota, the world’s largest vehicle manufacturer, is now a customer of Nvidia’s AI products for autonomous driving and will use its Drive chips and software. Toyota shares extended gains in Tokyo after the announcement.
Extending artificial intelligence to much of the physical world will transform $50 trillion industries, Nvidia said. But the move will also bring challenges. Robots and cars will require software that can handle the complexities of real life in a safe manner. The company created Nvidia Cosmos to make robots smarter and produce fully autonomous vehicles, Huang said.
Cosmos technology can create video from input such as text. That video then becomes the basis of virtual training, helping to reduce reliance on expensive and time-consuming real-world experiments. The generated video can be searched and refined so that important but rare events — such as a car meeting an ambulance — can be tested repeatedly.
Nvidia is also working with Uber Technologies Inc. on the development of self-driving technology. The millions of trips Uber makes daily will provide a wealth of data to train AI models.
Mass-market automakers will move to using a single computer and operating system for their entire model lineup, rather than segmenting systems by vehicle class, Nvidia said. The transition will lay the groundwork for wider use of the chip designer’s comprehensive offerings, the company believes. To speed this up, Nvidia has certified its products by the government’s traffic safety organization.
Nvidia now also offers a desktop computer called Project Digits. The company is equipping the small $3,000 device with a single Grace Blackwell Superchip—a combination CPU and graphics semiconductor—that runs on a large chunk of memory and a high-speed connection. The idea is to provide developers with hardware capable of running very large AI models, ones that current laptops will struggle to handle.
The new machines, developed in partnership with Taiwan’s MediaTek, will run a version of the Linux operating system and are not designed for everyday use. Instead, they should help AI developers work locally when connecting to the cloud or using conventional computers isn’t practical or possible.
— With help from Ed Ludlow.
(Updates with pre-market Nvidia share moves in paragraph five)
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