Nvidia CEO Jensen Huang holds an Nvidia Drive Thor processor as he delivers a keynote speech at … (+)
I was at CES 2025, sitting among a crowd of 140,000 people, as Jensen Huang, founder and CEO of NVIDIA, took the stage for the event’s first keynote. The energy in the room was electric. Huang opened with a stunning visual: a digital twin of NVIDIA itself.
This AI-powered virtual representation reflected every detail of the company’s operations, a perfect example of the transformative power of NVIDIA’s pioneering technologies. And of course, this digital twin concept bridges the gap between blockchain technology and the industrial metaverse, offering insight into how decentralized data and digital identities could redefine operational efficiency.
The crowd at CES 2025
Gary Shapiro, the founder of CTA, shared a light-hearted but impactful story: “If I had invested in NVIDIA when Jensen arrived at CES, I would have retired by now. » It was a reminder of how far NVIDIA has come from a maker of graphics chips to a driving force behind AI, robotics and autonomous systems.
Top 9 NVIDIA announcements at CES 2025:
DIGITS project: the personal AI supercomputer NVIDIA has unveiled Project DIGITS, a revolutionary AI supercomputer powered by the GB10 superchip. Capable of handling massive models of 200 B-parameters, this device, small enough to fit in one hand, offers unparalleled processing power. With two units combined, it can handle up to 405 billion parameters, providing developers with unparalleled AI capabilities.
Available by May, it is expected to redefine personal computing when it comes to AI. Jensen also asked for names! So submit!
Cosmos World Foundation models for autonomous mobility
NVIDIA has enhanced its autonomous vehicle technology by integrating Cosmos World Foundation models into its three-computer solution. This data wheel transforms thousands of real-world driving miles into billions of virtual simulations, exponentially improving the quality of training data.
NVIDIA AI Blueprint for Video Search and Synthesis
The NVIDIA AI Blueprint now includes industry-leading capabilities for video search and summarization, including chain-of-thought reasoning, task scheduling, and tool invocation. This allows developers to create powerful visual AI tools for managing and summarizing video content.
NVIDIA Autonomous Driving Innovations
NVIDIA announced several advancements in autonomous driving technology, combining the DRIVE Thor and DRIVE Orin platforms, the DRIVE AGX Hyperion toolkit, and partnerships with Aurora, Continental, and Toyota. These platforms provide comprehensive tools for vehicle safety and security as well as decision-making capabilities with billions of operations per second, positioning NVIDIA as a leader in autonomous vehicle development.
This partnership will change the autonomous trucking industry.
NVIDIA AI Plans for Agentic AI
NVIDIA has introduced new AI blueprints to simplify the creation of advanced AI agents. These plans provide a step-by-step framework, including pre-built tools such as NIM microservices, NeMo frameworks and other cutting-edge AI technologies, making it easier for businesses to develop intelligent digital assistants and automation tools .
I get asked a lot about the differences between Agentic AI and AI Agents.
Agentic AI is highly autonomous, goal-driven, and capable of independently solving complex problems while continuously learning and adapting to dynamic environments. In contrast, AI agents are task-specific with limited autonomy, relying on pre-programmed instructions and minimal learning capabilities, primarily suited to simpler, structured tasks. Agentic AI excels at decision-making and adaptability, while AI agents rely on human input and struggle to respond effectively to changing situations.
AI agents can be enhanced using blockchain technology to create more secure, transparent and autonomous systems. For example, combining NVIDIA’s AI tools with blockchain can help companies create decentralized AI agents for smart contracts, secure data management, and trustless automation, ideal for industries such as finance, supply chain management and digital identity.
Agentic AI was one of the most talked about trends at CES 2025.
NVIDIA Isaac GR00T for humanoid robotics
The Isaac GR00T blueprint allows developers to train humanoid robots using synthetic motion data and human demo inputs. This development framework constitutes a step forward in humanoid robotics and movement learning.
Jensen Huang noted: “The opportunities for humanoid robots in manufacturing and logistics are immense: humanoids can redefine productivity in a $50 trillion industry. »
The announcement regarding humanoids included a big prediction. (Photo by Patrick T. Fallon / AFP) … (+)
NVIDIA Omniverse for digital twins and robotics
NVIDIA has expanded its Omniverse platform with a powerful new “Mega” model, designed to simulate entire facilities such as warehouses and factories using digital twin technology. This innovation allows companies to create virtual replicas of their operations, enabling large-scale testing and optimization of robotic systems before deployment in the real world.
By integrating blockchain with NVIDIA’s Omniverse digital twins, companies can add an additional layer of security and transparency to their simulations.
Blockchain can be used to verify the integrity of data on the digital twin network, ensuring accurate and tamper-proof records of operational information. Additionally, smart contracts could automate performance measurements and trigger actions based on simulation results, making this technology ideal for industries focused on precision and accountability, such as manufacturing, logistics, and management. of the supply chain.
AI Foundation models for RTX AI PCs
NVIDIA’s NIM and RTX AI Blueprints microservices simplify the use of generative AI for content creation, human interaction, and visual effects, making powerful AI tools more accessible to businesses of all sizes. They streamline complex AI deployment, increasing productivity by automating tasks and enhancing everyday PCs with enterprise-level capabilities.
When combined with blockchain, these tools can ensure content authenticity through secure and verifiable digital records, helping businesses remain competitive and future-proof.
Implications of blockchain and cryptography
NVIDIA’s advancements in AI and digital twin technologies could have significant implications for the blockchain and crypto industries. The DIGITS project’s ability to manage massive data sets can accelerate blockchain analysis and smart contract verification.
The Omniverse platform, with its simulation capabilities, can play a central role in the development of decentralized virtual environments, enabling more immersive blockchain-powered metaverse projects.
Additionally, the new AI plans could facilitate the creation of intelligent crypto trading robots and financial analysis tools, further improving the blockchain ecosystem.
Why these announcements are important
Jensen Huang highlighted the critical role of AI in reshaping industries, saying: “The ChatGPT moment for robotics is coming. Physical AI will revolutionize the $50 trillion manufacturing and logistics industries. Everything that moves – from cars and trucks to factories and warehouses – will be robotized and embodied by AI.
With bold statements like these, NVIDIA is positioning itself not only as a technology innovator, but also as a fundamental driver of the next industrial revolution. Their continued partnerships with global brands like Toyota and Aurora reinforce this trajectory, with real-world deployments of autonomous vehicles expected over the coming years.
The keynote speech left no doubt: AI, autonomous systems and digital twins will define the next era of technological progress. NVIDIA continues to lead the way, making once-futuristic concepts a reality today.
