But if there was one takeaway from Nvidia CEO Jensen Huang's GTC keynote, it's that, while ChatGPT is neat and it opened the world's eyes to large language models , it only scratches the surface of the technology's potential — to sell GPUs that is., a very good proportion of Huang's two-hour presentation focused on the more tangible applications of AI whether they be for offices, manufacturing plants, warehouses, medical research, or robotics.
To be clear, these efforts have proven incredibly lucrative for Nvidia, which has seen its revenues more than double over the past fiscal year. Today, the company's market cap hovers at more than $2 trillion. You can imagine using an app like this to automatically pull sales data, analyze it, and summarize the results in a neatly formatted report. Assuming the models can be trusted not to hallucinate data points, this approach should, at least in theory, lower the barrier to building AI apps.
According to Huang, these digital twins can simulate whether operational changes will bear fruit before they're implemented in the real world or help identify design flaws before construction even begins. Over the past few years, Nvidia has developed a variety of hardware and software platforms aimed at robotics. At GTC24, Huang revealed a new hardware platform called Jetson Thor alongside a foundation model called General Robotics 00 Technology, or GR00T for short, which are aimed at accelerating development of humanoid robots.
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