What You Need to Know Before
You Start
Starts 8 June 2025 11:57
Ends 8 June 2025
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Overview
Discover a blueprint for building scalable AI computational infrastructure, presented by OCP's VP of Market Intelligence and Innovation, James Kelly.
Syllabus
- Introduction to Scalable AI Infrastructure
- Key Components of AI Computational Infrastructure
- Designing Scalable Infrastructure
- Cloud vs. On-Premises AI Infrastructure
- Managing Data at Scale
- High-Performance Computing (HPC) in AI
- Security and Compliance in AI Infrastructure
- Monitoring and Optimization
- Cost Management and Optimization
- Future Trends in AI Infrastructure
- Q&A with James Kelly
Overview of AI Infrastructure
Importance of Scalability in AI
Central Processing Units (CPUs) and Graphics Processing Units (GPUs)
Storage Solutions
Networking in AI Systems
Best Practices for Scalability
Infrastructure as Code (IaC)
Automation and Orchestration
Benefits and Drawbacks
Hybrid Solutions
Case Studies
Data Storage Strategies
Data Lakes and Warehouses
Data Ingestion and Processing Pipelines
HPC Architecture
Parallel Processing Techniques
Use Cases in AI
Ensuring Data Privacy
Complying with Regulations
Performance Metrics
Tools for Monitoring and Optimization
Budgeting for AI Infrastructure
Strategies for Cost-Effective Scaling
Emerging Technologies
The Role of Innovations in AI Infrastructure
Interactive Discussion
Case Study Analysis
Subjects
Programming
