A Blueprint for Scalable AI Computational Infrastructure

Übersicht

Discover a blueprint for building scalable AI computational infrastructure, presented by OCP's VP of Market Intelligence and Innovation, James Kelly.

Lehrplan

• Introduction to Scalable AI Infrastructure
Overview of AI Infrastructure
Importance of Scalability in AI
• Key Components of AI Computational Infrastructure
Central Processing Units (CPUs) and Graphics Processing Units (GPUs)
Storage Solutions
Networking in AI Systems
• Designing Scalable Infrastructure
Best Practices for Scalability
Infrastructure as Code (IaC)
Automation and Orchestration
• Cloud vs. On-Premises AI Infrastructure
Benefits and Drawbacks
Hybrid Solutions
Case Studies
• Managing Data at Scale
Data Storage Strategies
Data Lakes and Warehouses
Data Ingestion and Processing Pipelines
• High-Performance Computing (HPC) in AI
HPC Architecture
Parallel Processing Techniques
Use Cases in AI
• Security and Compliance in AI Infrastructure
Ensuring Data Privacy
Complying with Regulations
• Monitoring and Optimization
Performance Metrics
Tools for Monitoring and Optimization
• Cost Management and Optimization
Budgeting for AI Infrastructure
Strategies for Cost-Effective Scaling
• Future Trends in AI Infrastructure
Emerging Technologies
The Role of Innovations in AI Infrastructure
• Q&A with James Kelly
Interactive Discussion
Case Study Analysis

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Fachgebiete

Programming