Nvidia CEO Jensen Huang introduced the company’s newest AI supercomputer, set to launch in May with a $3,000 price tag.
Nvidia’s shares declined amid a marketwide collapse on Tuesday, despite the introduction of its most powerful and smallest AI supercomputer.
In a keynote address at the Consumer Electronics Show (CES) in Las Vegas on January 6, Nvidia CEO Jensen Huang declared, “We are entering the era of physical AI, AI that can proceed, reason, plan, and act.”
Huang unveiled Project DIGITS, a personal AI supercomputer that offers researchers, data scientists, and students access to a “deep learning GPU intelligence training system,” as part of the company’s most recent product line.
Project DIGITS, which is propelled by the GB10 Grace Blackwell Superchip, is anticipated to be available for purchase in May at a cost of approximately $3,000.
Huang also introduced Nvidia’s Cosmos platform, which provides AI models for developing autonomous vehicles and humanoid robotics.
He stated that the autonomous vehicle revolution is underway and that the platform “generates synthetic driving scenarios that significantly improve training data.”
“The ChatGPT moment for general robotics is not far off,” he said.
AI Blueprints for agentic AI were also introduced by the company, which enables developers to create and implement custom agents with features such as video search and summarization capabilities and PDF-to-podcast conversion.
The announcements were insufficient to avert a marketwide decline in Nvidia shares on January 7, as the tech and crypto equities were most impacted by mixed US jobs data.
Google Finance reports that Nvidia Corp (NVDA) shares closed the day at $140, down 6.2%, and only gained 1% in after-hours trading.
Analysts are not concerned about the minor stock decline, as Nvidia shares have increased by 166% in the past year.
In an interview with Yahoo Finance, William Stein, an analyst at Truist Securities, stated that the company is consistently improving its position in all aspects of the periphery, including client computing, autonomous vehicles, and robotics. This is not limited to the data center.
