Nvidia CEO Jenson Huang delivered his annual keynote address at GTC 2025 AT THE Sap Center in San Jose, California. Watch all the highlights from Nvidia’s live event.
0:00 Intro
0:55 GeForce RTX 5090
1:48 AI Real-Time CGI Rendering
2:31 GM & Nvidia Autonomous Vehicle Partnership
4:37 Blackwell GPU Data Centers
8:21 Nvidia Blackwell System
9:03 Nvidia Dynamo
10:33 DGX Station
11:32 Nvidia Robotics
12:18 Nvidia Omniverse
14:39 Nvidia Partners with Disney and Google DeepMind
📢 Nvidia GTC 2025 Keynote – Major Announcements
Nvidia’s GTC 2025 (GPU Technology Conference) showcased groundbreaking innovations across multiple industries, reinforcing the company’s leadership in artificial intelligence (AI), high-performance computing (HPC), robotics, gaming, and enterprise AI infrastructure. CEO Jensen Huang delivered a keynote that outlined next-generation AI GPUs, quantum computing, autonomous systems, and breakthroughs in the Omniverse platform.
🔹 1. Blackwell Architecture – Next-Gen AI & HPC GPUs
Introducing the Nvidia Blackwell GPU
- Nvidia unveiled the Blackwell GPU architecture, succeeding Hopper (H100), designed for AI, machine learning, and data center workloads.
- Significant performance improvements for training and inference of large language models (LLMs) like ChatGPT-5 and Gemini.
- NVLink 5.0 announced, boosting interconnect speeds between GPUs for enhanced parallel computing.
- Lower power consumption with improved transistor density, making data centers more efficient.
Blackwell-Based AI GPUs
- Nvidia B100 and B200 GPUs officially announced for data centers, AI research labs, and cloud computing.
- New Tensor Core enhancements for faster AI model training and inference.
- Blackwell architecture optimized for 3D generative AI and digital twin simulations.
🌍 2. AI Supercomputing & Cloud Innovations
DGX GH200 AI Supercomputer
- Nvidia announced the DGX GH200, a massive AI supercomputer designed for training trillion-parameter models.
- Uses Blackwell GPUs in a scalable multi-node architecture.
DGX Cloud Expansions
- Nvidia expanded its DGX Cloud AI training platform, allowing enterprises to access scalable GPU compute for AI workloads.
- Partnerships with AWS, Google Cloud, and Microsoft Azure for AI cloud deployment.
AI Foundry & Generative AI
- Nvidia introduced AI Foundry, an end-to-end AI model development ecosystem for training, fine-tuning, and deploying custom AI models.
- Focus on enterprise AI, industrial automation, and healthcare AI solutions.
🤖 3. Robotics & Omniverse Updates
Omniverse for AI-Driven Digital Twins
- New updates to Nvidia Omniverse to enhance realistic digital twin simulations.
- Improved AI integration for real-world physics simulations, industrial automation, and manufacturing.
Jetson Edge AI & Robotics
- New Jetson AI edge computing solutions introduced for autonomous robots, drones, and AI-powered IoT devices.
- Nvidia Isaac robotics platform expanded for faster training of robotic AI models.
🚗 4. Autonomous Vehicles & AI Automotive Tech
Nvidia DRIVE Thor – Next-Gen Autonomous Vehicle AI
- Successor to DRIVE Orin with enhanced AI processing power for fully autonomous vehicles.
- Multi-modal AI for real-time perception, decision-making, and driving automation.
AI-Powered In-Car Experiences
- New AI-assisted driving features for passenger safety and infotainment systems.
- Automaker partnerships with Tesla, BMW, Mercedes-Benz, and Toyota.
🏢 5. Enterprise AI & AI-Powered Data Centers
Nvidia NIM (Neural Interface Models)
- NIM enables real-time AI for enterprise applications, improving customer support, healthcare diagnostics, and smart assistants.
- TensorRT optimizations for enterprise AI inference, boosting performance by 30-40%.
AI Workloads on Nvidia Superchips
- New ARM-based CPUs optimized for AI training and inference.
- Cloud providers integrating Nvidia’s AI stack for hyperscale AI processing.
🎮 6. Gaming, RTX 5000 Series & AI-Driven Graphics
RTX 5000 Series – The Next Leap in Gaming GPUs
- Nvidia teased the RTX 5000 series, featuring enhanced ray tracing and AI-powered upscaling.
- More efficient power consumption while delivering next-gen gaming experiences.
DLSS 4.0 – AI-Powered Upscaling Evolution
- DLSS 4.0 (Deep Learning Super Sampling) introduced, leveraging AI-driven rendering techniques to deliver higher frame rates with better image quality.
- Reflex and AI-driven latency reduction for smoother gameplay.
Ray Tracing & Omniverse in Gaming
- AI-driven texture generation for game developers, reducing development time.
- Enhanced real-time ray tracing with improved global illumination.
🔬 7. Quantum Computing & Research Innovations
Nvidia Quantum AI
- Nvidia announced Quantum-Accelerated Supercomputing with a focus on hybrid computing models.
- Collaboration with IBM and Google on quantum simulations for AI and cybersecurity applications.
🚀 Final Thoughts – Nvidia’s AI-Driven Future
Nvidia GTC 2025 solidified the company’s position as the leader in AI, computing, and next-gen graphics. The Blackwell GPU architecture, AI supercomputing advancements, and DLSS 4.0 mark major breakthroughs in deep learning, generative AI, and gaming.
