Journey of Heterogeneous Computing in OpenInfra - From OpenStack Cyborg to AI Integration

Übersicht

Explore the 7-year evolution of OpenStack Cyborg's heterogeneous framework, from its community-driven inception to its role in AI infrastructure, and discover its impact on modern computing landscapes.

Lehrplan

• Introduction to Heterogeneous Computing
Definition and Importance
Overview of Modern Computing Landscapes
• History of OpenStack Cyborg
Inception and Community-driven Development
Key Milestones Over 7 Years
• Understanding OpenStack Cyborg's Architecture
Core Components
Integration with Existing OpenStack Services
Extending Cyborg for New Use Cases
• Heterogeneous Hardware Management
Types of Hardware Supported
Device Management and Resource Allocation
Performance Optimization Techniques
• Cyborg's Role in AI Infrastructure
Leveraging GPU and FPGA for AI Workloads
Integrating AI Frameworks with Cyborg
Case Studies: AI Deployment Scenarios
• Impact on Modern Computing Landscapes
Enhancing Performance and Scalability
Influence on Hybrid Cloud Environments
Industry Adoption and Future Trends
• Hands-On Labs
Setting Up OpenStack Cyborg
Configuring Heterogeneous Hardware
Running AI Workloads on OpenStack
• Conclusion
Recap of Key Learnings
Future Directions in Heterogeneous Computing and AI Integration
Open Discussion and Q&A Session

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Fachgebiete

Programming