NVIDIA CEO Jensen Huang’s keynote at the 6 Jan 2024 CES 2025 showcased significant advancements that can have an impact on your business strategy. This includes new announcements in AI hardware, models of the entire earth, robotics and AI agents. A new AI supercomputer that is incredibly expensive will enable startups and even homeowners to have the power of a supercomputer at their disposal.

Why It Matters:

NVIDIA’s innovations are driving the evolution of AI and computing, impacting industries from gaming to autonomous vehicles.

Key Points:

• Evolution of AI: Huang traced AI’s progression from the 2012 AlexNet breakthrough to current developments in perception AI, generative AI, agentic AI, and physical AI, highlighting NVIDIA’s contributions at each stage.
• GeForce RTX 50-Series GPUs: The new RTX 50-series, powered by the Blackwell AI processor, delivers up to eightfold increases over the previous generation, setting new standards for performance and AI-driven solutions..
• Cosmos AI Models: The Cosmos family of AI models generates photorealistic simulations to train robots and autonomous vehicles, enhancing their understanding of the physical world and improving safety and efficiency in real-world applications.
• Robotics and Physical AI: NVIDIA’s advancements in physical AI enable robots to learn by imitation, allowing them to replicate human movements and perform complex tasks. This development is poised to revolutionize industries reliant on automation and robotics.
• Automotive Partnerships: Collaborations with industry leaders like Toyota integrate NVIDIA’s Drive AGX Orin supercomputer and DriveOS into next-generation autonomous vehicles, advancing the development of self-driving technology.
• Project DIGITS: NVIDIA introduced a $3,000 personal AI supercomputer, Project DIGITS, featuring the GB10 Grace Blackwell Superchip. This compact desktop system can handle AI models with up to 200 billion parameters, democratizing access to advanced AI capabilities for researchers and developers.

Project DIGITS is of particular interest since it will likely set of new waves of innovation, supporting startups with the power of a supercomputer for developing models and AI enabled solutions. What can you do with this? Anything you want your own personal AGI to do (for some things we have been suggesting see: Accelerating AGI: Why we should all want it sooner vice later)

What’s Next:

NVIDIA plans to continue advancing AI and computing technologies, focusing on enhancing performance, accessibility, and real-world applications across various industries.

For more the full video see:

Related Resources

Decision Intelligence and Establishing an Intelligent Enterprise: The greatest determinant of your success will be the quality of your decisions. We examine frameworks for understanding and reducing risk while enabling opportunities. Topics include Black Swans, Gray Rhinos, Foresight, Strategy, Stratigames, Business Intelligence and Intelligent Enterprises. Leadership in the modern age is also a key topic in this domain.

Artificial Intelligence for Business Advantage.  AI technologies are making continuous advances in domains like industrial robotics, logistics, speech recognition and translation, banking, medicine and advanced scientific research. But in almost every case, the cutting edge AI that drives the advances drops from attention, becoming almost invisible when it becomes part of the overall system.

A Decision-Maker’s Guide to Artificial Intelligence. The megatrend of Artificial Intelligence is transforming the algorithms of business in exciting ways. This reference, aimed at the business decision-maker, will help you make the most of AI in your organization. It provides clear articulations of fundamental concepts, succinct examples of highly impactful use cases, and tips you can put in place to ensure your AI projects stay on track to deliver value. We keep this online reference updated so you will always have access to the best of our thoughts.

Accelerating AGI: Why we should all want it sooner vice later: Includes a list of requirements you can consider for your own personal AI systems.

About the Author

Bob Gourley

Bob Gourley is an experienced Chief Technology Officer (CTO), Board Qualified Technical Executive (QTE), author and entrepreneur with extensive past performance in enterprise IT, corporate cybersecurity and data analytics. CTO of OODA LLC, a unique team of international experts which provide board advisory and cybersecurity consulting services. OODA publishes OODALoop.com. Bob has been an advisor to dozens of successful high tech startups and has conducted enterprise cybersecurity assessments for businesses in multiple sectors of the economy. He was a career Naval Intelligence Officer and is the former CTO of the Defense Intelligence Agency.