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Starts 7 June 2025 12:05
Ends 7 June 2025
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13 minutes
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Overview
Discover how Broadcom balances compute memory and networking for AI in this keynote by Ram Velaga, SVP & GM of Core Switching Group.
Syllabus
- Introduction to AI Systems
- Understanding Compute Requirements for AI
- Memory Solutions in AI Systems
- Networking Challenges and Solutions in AI
- Integration of Compute, Memory, and Networking
- Broadcom's Approach to AI Infrastructure
- Keynote Takeaways and Future Directions
- Q&A Session
Overview of AI system architecture
Importance of balancing compute, memory, and networking
Types of computational workloads in AI
Scaling compute resources for AI applications
Role of memory in AI processing
Innovations in memory technology for AI
Networking demands of AI applications
Advancements in AI networking technologies
Strategies for integrating these components efficiently
Real-world examples and case studies
Overview of Broadcom's technologies and products for AI
Specific innovations by Broadcom in compute, memory, and networking
Summary of key insights from the keynote
Emerging trends and future developments in AI infrastructure
Audience questions and expert answers on AI infrastructure solutions
Subjects
Computer Science
