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As the AI world races toward next-generation breakthroughs, Nvidia (NVDA) fortified its position with a flood of new chips, software and services designed to keep the industry plugged into its expanding tech ecosystem.
Nvidia chief executive Jensen Huang announced a suite of AI tools and updates during the first keynote speech at the Consumer Electronics Show (CES) on Monday, focusing on AI agents — systems that can complete tasks autonomously. Huang demonstrated these capabilities through animated versions of himself in different outfits, showing how AI agents could handle roles like customer service, coding, and research assistance.
“The IT department of every company is going to be the HR department of AI agents in the future,” Huang said in the keynote.
The chipmaker unveiled AI Blueprints, which will help companies build and deploy these AI agents using technology built on Meta’s (META) Llama models. These “knowledge robots,” as Nvidia describes them, can analyze large amounts of data, summarize information from videos and PDFs, and take actions based on what they learn. To make this happen, Nvidia partnered with five leading AI companies — CrewAI, Daily, LangChain, LlamaIndex, and Weights & Biases — who will help integrate Nvidia’s technology into usable tools for businesses.
“These AI agents act like ‘knowledge robots’ that can reason, plan and take action to quickly analyze large quantities of data, summarize and distill real-time insights from video, PDF and other images,” Justin Boitano, Nvidia’s vice president of enterprise AI software products said in a statement.
Nvidia also made a major push into robotics, unveiling new tools to help companies simulate and deploy robot workforces. The centerpiece is “Mega,” a new Omniverse Blueprint that lets companies develop, test, and optimize robot fleets in virtual environments before deploying them in real warehouses and factories.
“The ChatGPT moment for general robotics is just around the corner,” Huang said during his keynote. To back this claim, Nvidia announced a collection of robot foundation models, including new capabilities for generating synthetic motion data for training humanoid robots. The company says these pre-trained models were developed using massive amounts of data, including millions of hours of autonomous driving and drone footage.
A key part of this effort is the new Isaac GR00T Blueprint, which helps solve a major challenge in robotics: generating the massive amounts of motion data needed to train humanoid robots. Instead of the expensive and time-consuming process of collecting real-world data, developers can use GR00T to generate large synthetic datasets from just a small number of human motions.