This session dives into the challenges of modern AI platform development in the age of LLMs. You’ll learn how to address platform scalability, cost pressures, and infrastructure redesign to support high-performance, reliable AI services.

Key Focus Areas
- Identifying platform bottlenecks unique to LLM / generative AI systems
- Addressing inefficiencies in cost, resource usage, and latency
- Introducing design paradigms and architectural patterns for resilient, scalable AI platforms

Takeaways

Participants will walk away with:
- Strategies to design platforms with better cost control and efficiency
- Insights into AI/ML ops tools and infrastructure patterns for sustainable innovation
- Concrete approaches to scale LLM deployments without compromising quality
- Methods to leverage LLMs themselves to optimize and fix pipeline issues