2025-01-07 13:29:08
Artificial Intelligence
Tech
Technology

Nvidia's AI Revolution at CES 2023

Nvidia showcased its groundbreaking AI supercomputer, 'Project Digits,' at CES in Las Vegas, set to revolutionize the industry. Priced from $3,000 and available from May, this compact device features the secretive GB10 chip, crucial for the expanding AI landscape.

The company is also venturing into autonomous vehicle technology and humanoid robotics while developing the Cosmos software for sophisticated AI training. Nvidia is currently the most valuable company globally, with its stock nearing record highs.

CEO Jensen Huang predicts that AI agents and robotics could evolve into a multi-trillion dollar industry, underscoring significant economic potential. Additionally, Micron Technology's stock surged after being named a supplier for Nvidia's AI gaming chips, anticipating substantial growth in the high-bandwidth memory market.

With the RTX 50 series chips poised to enhance gaming capabilities, Nvidia is strategically positioning itself at the forefront of AI innovation, aiming to support millions of developers and students in their AI endeavors.

TechCrunch
7. Januar 2025 um 03:38

Nvidia releases its own brand of world models

Technology
Nvidia's Cosmos WFM models can take text or video frames as input and generate controllable, high-quality synthetic, physics-based videos. The models are purpose-built for physical AI research and development.
Der Spiegel
7. Januar 2025 um 08:41

CES in Las Vegas: Nvidia Introduces AI Supercomputer in Desktop Format

Technology
Nvidia introduces the compact AI supercomputer "Project Digits"; the device, available from May for $3,000 and up, contains the secret GB10 chip, which is a key technology for the growing AI industry.
n-tv.de
7. Januar 2025 um 10:20

"Project Digits" at CES: Nvidia brings the AI chips in the supercomputer to everyday life - n-tv.de

Technology
Nvidia announces the "Project Digits" AI supercomputer for desktops starting at $3,000. The chips are intended to enable millions of developers, data scientists and students to work on AI software.
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