NVIDIA Prepares for the Generative Computing Era with Beyond Retrieval

Revolutionizing AI Integration and Performance: NVIDIA Unveils Groundbreaking Advancements

The Vision of “Token Economy” and AI Factories

NVIDIA CEO Jensen Huang introduces a new era of AI computing with the concept of “tokens” and specialized “AI factories” at GTC March 2025.

Blackwell Architecture: A Game-Changer in AI Performance

Discover the power of the Blackwell GPU architecture, offering 40x the performance of Hopper with unmatched energy efficiency.

A Predictable Roadmap for AI Infrastructure Innovations

Explore NVIDIA’s upcoming advancements in AI infrastructure, including Blackwell Ultra, Vera Rubin, and Rubin Ultra.

Democratizing AI: From Networking to Models

NVIDIA aims to democratize AI with solutions for networking, hardware, and software, empowering developers and researchers with personal AI supercomputers.

Physical AI and Robotics: A $50 Trillion Opportunity

Uncover NVIDIA’s vision for physical AI and robotics, including the groundbreaking open-source NVIDIA Isaac GR00T N1 and Newton physics engine.

Agentic AI and Industry Transformation

Learn about the concept of “agentic AI” and its impact on computational demands, driving the next wave of AI capabilities.

The AI-Powered Future: NVIDIA’s Vision for Computing

Join Jensen Huang as he unveils NVIDIA’s roadmap for the future of technology, from intelligent agents to purpose-built AI factories.

1. What is generative computing?
   Generative computing is a paradigm shift in computing where systems are designed to automatically generate new designs, code, or solutions based on defined parameters or criteria.

2. How is NVIDIA involved in the generative computing era?
   NVIDIA is charting a course for the generative computing era by leveraging their expertise in GPU technology to develop powerful tools and algorithms that enable computers to generate complex and creative outputs.

3. What are some applications of generative computing?
   Generative computing can be applied in a wide range of fields, including architecture, engineering, design, and art, to create innovative solutions, designs, and simulations.

4. How is generative computing different from traditional computing?
   Traditional computing relies on predefined algorithms and rules to process data and generate outputs, while generative computing uses algorithms and machine learning techniques to generate outputs based on defined parameters and constraints.

5. How will the shift to generative computing impact industries?
   The shift to generative computing is expected to revolutionize industries by enabling faster innovation, more efficient design processes, and the creation of highly customized solutions that were previously beyond retrieval.

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