NVIDIA CEO Jensen Huang Reveals AI Future: "NIMS" Digital Humans, World Simulations & AI Factories

NVIDIA CEO Jensen Huang introduced the concept of NIMS (NVIDIA Inference Microservices) and AI Factories that generate tokens representing various forms of data. The presentation also discussed advancements in creating digital humans, simulating quantum computers, and the future potential of physical AI in automating industries and reshaping society.

NVIDIA CEO Jensen Huang recently gave a presentation in Taiwan discussing the latest developments at NVIDIA. He introduced the concept of NIMS (NVIDIA Inference Microservices), which are pre-trained AI models running inside an AI Factory. This AI Factory generates tokens, which can represent various forms of data such as words, images, charts, or videos. This generative AI era marks a significant shift in the industry, with AI becoming a new commodity across different sectors.

NIMS are designed to simplify the complex process of running AI models by providing a cloud-native container with integrated software for inference services. These pre-trained models cover various domains like language, vision, healthcare, and digital biology. NIMS can be accessed through ai.nvidia.com and are available for free, enabling users to interact with AI models for different applications.

Digital humans are another area of focus for NVIDIA, aiming to create interactive and empathetic digital agents that bridge the gap between humans and AI. NVIDIA’s advancements in simulation technology have also led to breakthroughs in creating a digital twin of Earth, allowing for better predictions and understanding of climate change impacts. Additionally, NVIDIA’s work on simulating quantum computers has set world records and paved the way for new computing possibilities.

The next wave of AI is envisioned to be physical AI, capable of understanding the laws of physics and interacting seamlessly with the world. This includes robotics that go beyond humanoid forms, with entire factories being automated and orchestrated by AI systems. As AI continues to advance, the integration of physical AI into various industries is expected to bring about significant changes in how tasks are performed and products are manufactured.

Overall, Jensen Huang’s presentation highlighted the transformative potential of AI, from generative AI factories producing valuable tokens to the emergence of physical AI that understands the world’s laws. The convergence of simulation technology, AI advancements, and digital human development signifies a new era of innovation and automation that could reshape industries and society as a whole.