A Blueprint for Scalable AI Computational Infrastructure

Overview

Join us for an in-depth look at how to build scalable AI computational infrastructure, expertly presented by James Kelly, the VP of Market Intelligence and Innovation at OCP. Perfect for those interested in enhancing their understanding of artificial intelligence and programming.

This session will provide invaluable insights and strategies for crafting effective infrastructure solutions. Hosted on YouTube, this is part of the Artificial Intelligence and Programming Courses series.

Syllabus

• 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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Subjects

Programming