Adapting the Data Center to New AI Trends

Overview

Explore how AI trends reshape data center infrastructure, focusing on high-density server racks, liquid cooling solutions, and innovative approaches to meet evolving computational demands.

Syllabus

• Introduction to AI Trends and Data Center Evolution
Overview of current AI trends impacting data centers
Historical context: how data centers have adapted over time
• High-Density Server Racks
Design considerations for high-density implementations
Integration of GPUs and specialized AI hardware
Balancing power and cooling requirements
• Liquid Cooling Solutions
Fundamentals of liquid cooling technologies
Comparative analysis of air vs. liquid cooling
Implementation strategies and real-world examples
• Innovative Approaches to Data Center Design
Modular and scalable infrastructure models
Edge computing and its impact on data centers
Software-defined data centers and automation
• Addressing Computational Demands
Forecasting and planning for future computational needs
Resource allocation and virtualization techniques
Case studies of AI-driven transformations in data centers
• Security and Compliance in AI-Driven Data Centers
Ensuring data protection in AI contexts
Regulatory considerations and best practices
• Future Outlook and Emerging Technologies
Anticipated AI advancements and their potential impacts
Exploration of quantum computing and other cutting-edge technologies
Preparing for future shifts in AI and data center dynamics
• Conclusion and Course Review
Recap of key concepts
Discussion on the forward-looking strategies for AI readiness in data centers

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Subjects

Programming