The Many Facets of Building and Delivering AI in the Cloud Native Ecosystem

Overview

Discover how NVIDIA leverages cloud-native technologies to build and deliver AI solutions, exploring their contributions to CNCF projects and vision for advancing the AI ecosystem.

Syllabus

• Introduction to AI and Cloud Native Ecosystem
Overview of AI technologies
Introduction to cloud-native principles
Importance of AI in the cloud-native landscape
• NVIDIA's AI Solutions
Understanding NVIDIA's role in AI
Key AI products and services by NVIDIA
Case studies of NVIDIA's AI implementations
• CNCF and NVIDIA Collaborations
Introduction to the Cloud Native Computing Foundation (CNCF)
NVIDIA’s contributions to CNCF projects
Impact of these contributions on the AI ecosystem
• Building AI Applications with Cloud Native Technologies
Designing AI systems using microservices
Kubernetes for AI workloads
Containerization of AI models
• Deployment and Scaling of AI Solutions
Best practices for deploying AI in cloud-native environments
Techniques for scaling AI applications efficiently
Tools and platforms for managing AI workloads
• Vision for the Future of AI in Cloud Native Ecosystem
NVIDIA’s strategic initiatives for AI advancements
Emerging trends in AI and cloud-native technologies
Challenges and opportunities in AI delivery
• Hands-on Workshops and Labs
Building AI models with cloud-native tools
Deploying AI applications on Kubernetes
Optimizing performance and resource management
• Conclusion and Future Directions
Recap of key learnings
Discussion on the future growth of AI in cloud-native contexts
Opportunities for further learning and career development in AI and cloud technologies

Subjects

Programming