NVIDIA GTC Conference Guide, including conference background, five core technology themes, etc.

I. Conference Background

NVIDIA GTC is the world's most important conference for AI, GPU computing, and high-performance computing, hosted by NVIDIA .

Basic information about the 2026 conference

• Dates: March 16-19, 2026

  

• Location: San Jose, California, USA

• Format: Offline + Global Live Streaming

• Participants: Developers, researchers, enterprise technology leaders

Conferences typically include:

• 1000+ technical conferences

• Hundreds of companies participated

• Multiple industry forums

GTC originally started as a GPU developer conference , but it has now become:

II. Core Technology Themes of GTC 2026

According to the official agenda (Session Catalog), this conference will focus on the following AI areas.

1. Agentic AI (Intelligent Agent AI)

Agentic AI is one of the most important new concepts in the field of AI today.

Its core characteristics are:

• AI can autonomously plan tasks.

• AI can call tools

• AI can execute complex processes.

For example:

AI systems can:

1. Receive task

2. Automatic task decomposition

3. Calling multiple AI tools

4. Automatic task completion

Application scenarios:

• Automated Software Development

• AI Customer Service System

• AI Enterprise Operation Assistant

In the future, AI will be from:

Chatbot → Autonomous Agent

2. AI Factory

NVIDIA has proposed the concept of AI Factory .

AI Factory refers to:

The components include:

• GPU cluster

• AI training platform

• Inference server

• Data processing system

Traditional data centers:

Store data

AI Factory:

AI production services

Future businesses may build:

• AI Computing Center

• AI production line

3. Physical AI

Physical AI refers to:

AI enters the physical world.

Main applications:

• robot

• autonomous driving

• Smart manufacturing

• Smart Logistics

Related technologies:

• Robot Learning

• Simulation training

• Digital twin

NVIDIA's key platforms:

Omniverse

Omniverse can:

• Creating a virtual world

• Training robots

• Conduct AI simulation

4. AI Inference

The AI ​​industry is shifting from training models to inference deployment .

AI reasoning includes:

• ChatGPT running

• AI Search

• AI Enterprise Assistant

Characteristics of reasoning:

• Real-time calculation required

• Low latency required

• A large number of servers are needed

Future AI market size:

Reasoning > Training

5. Industry AI Applications

GTC also showcased the application of AI in various industries.

Typical industries include:

Medical

• Medical image analysis

• Drug development

manufacture

• Quality Inspection

• Automated factory

finance

• Risk Analysis

• Intelligent Customer Service

energy

• Power Grid Optimization

• Energy Forecast

This indicates that AI has already entered:

Industrial application stage

III. GTC Meeting Types

GTC is more than just a speaking conference.

It mainly includes four types of meetings.

1. Keynote (Focus Presentation)

The most important content of the conference is:

Jensen Huang 's keynote.

Keynote is typically published as follows:

• New GPU Architecture

• AI Platform

• New software framework

Keynote content typically has the following impact:

The development direction of the entire AI industry.

2. Technical Sessions

GTC features hundreds of technical presentations.

Topics include:

• CUDA development

• LLM training

• AI inference optimization

• GPU computing

Technical conferences are typically organized by:

• NVIDIA engineers

• AI company

• University researchers

Share experiences together.

3. Workshops (Technical Practice)

Workshops are:

Hands-on practical courses.

For example:

• LLM Deployment

• GPU Programming

• AI inference optimization

Suitable:

Developer learning.

4. Panel Discussions (Industry Forum)

Panel discussion on industry issues:

For example:

• AI regulation

• AI ethics

• AI industry development

Typically, invitations are extended to:

• Technology company executives

• academic experts

• Policy researchers

IV. Recommended Viewing Route (Study Guide)

If you are watching the GTC live stream, you can follow this order.

Step 1: Watch the Keynote

Keynote allows you to quickly understand:

• AI Industry Trends

• NVIDIA Technology Roadmap

We recommend watching this video first.

Step 2: Selecting Key Technology Topics

Recommended to follow:

AI developers

Recommended topics:

• Generative AI

• CUDA

• AI inference

Industry researchers

Recommended topics:

• AI Factory

• Data Center

• AI infrastructure

Robotics Researchers

Recommended topics:

• Physical AI

• Simulation

• Robotics

Step 3: Focus on Company Cases

Many conferences share real-world case studies, such as:

• AI enterprise deployment

• autonomous driving

• Medical AI

This information is helpful for understanding:

How to implement AI in practice.

V. AI Industry Trends Reflected by GTC

Five trends in the AI ​​industry can be seen from the conference topics.

Trend 1: AI Agents

AI is transforming from a tool into:

Automated systems.

Trend 2: AI Reasoning Explosion

Future AI computing power demand will mainly come from:

Reasoning and calculation.

Trend 3: AI Infrastructure

AI is becoming:

National-level infrastructure.

Trend 4: Physical AI

AI will enter the real world.

Trend 5: AI Industry Applications

AI will delve deeper:

Industries such as healthcare, manufacturing, and finance.

VI. The Impact of GTC on Industry

GTC is not just a technology conference.

It will affect:

Technology Industry

Capital Markets

AI ecosystem

For example:

• GPU Demand Forecast

• AI Data Center Construction

• AI Industry Investment Directions

Many companies will announce at GTC:

• New products

• New cooperation

• New technologies

VII. How to use GTC for research

If you are: a student / a researcher / an industry analyst

GTC is a very important source of information.

It can be used for:

1. AI Technology Trend Research

You can determine this by looking at the Session topic:

AI research hotspots.

2. Research on the Development of the AI ​​Industry

Company Case Studies:

AI commercialization path.

3. AI Ecosystem Analysis

Analysis can be made based on the participating companies:

AI industry chain.

Summarize

NVIDIA GTC 2026 is one of the most important technology conferences in the global AI industry.

It showcases several core directions for the future development of AI:

• Agentic AI

• AI Factory

• Physical AI

• AI inference

• Industry AI Applications

The overall trend indicates that:

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