Скачать или смотреть Revolutionizing AI:NVIDIA Cosmos & Project DIGITS-Physical AI & Personal Supercomputing |Part 3| 228

Part 1:    • AI Breakthroughs in CES 2025 | Jensen Huan...  
Part 2:    • Agentic AI & NVIDIA Innovations: Revolutio...  
Part 3:    • Revolutionizing AI:NVIDIA Cosmos & Project...  

🔗 Resources & Links:
NVIDIA Official Website: https://www.nvidia.com/
CES 2025 Details: https://www.ces.tech/

Timestamps:
0:00 - Introduction to Physical AI and NVIDIA Cosmos
0:45 - Overview of the World Foundation Model
2:08 - Cosmos and Its Role in AI Training
3:13 - Synthetic Data and Omniverse Integration
8:00 - Benefits of Synthetic Data for AI Development
8:30 - Real-World Applications: Robotics and Autonomous Vehicles
10:00 - NVIDIA Cosmos
19:00 - Autonomous Vehicles
20:00 - Robotics
23:00 - Introduction to Project DIGITS
26:00 - Specifications of the Personal AI Supercomputer
30:00 - Impact on AI Model Development and Training
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Dive into the world of groundbreaking AI advancements as NVIDIA introduces Cosmos, a Physical AI model, and Project DIGITS, a personal AI supercomputer. This tutorial breaks down these revolutionary technologies, their use cases, and their impact on robotics, autonomous vehicles, and AI development. Learn how these open-source models provide scalable, cost-effective solutions for synthetic data generation and enable the development of AI models with up to 200 billion parameters.

What You’ll Learn:
What is NVIDIA Cosmos?
How Cosmos replicates the physical world with synthetic data.
The role of Cosmos in robotics and autonomous vehicles.
Introducing Project DIGITS: The personal AI supercomputer.
Capabilities and pricing of Project DIGITS.
Implications for AI model development and deployment.
Stay ahead in the AI revolution with NVIDIA’s cutting-edge inn

Keywords:
NVIDIA Cosmos explained
What is Project DIGITS
Physical AI models
Synthetic data generation tutorial
AI in robotics and autonomous vehicles
How Cosmos works for AI development
Personal AI supercomputer
NVIDIA Project DIGITS specifications
Future of AI computing
AI training with synthetic data
NVIDIA Omniverse integration
Cost-effective AI model training
AI supercomputing for developers
NVIDIA AI tools tutorial
200 billion parameter AI model

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