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6-7 August
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Please note: This schedule is automatically displayed in India Standard Time (UTC+5:30)To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Wednesday August 6, 2025 2:10pm - 2:40pm IST
As PepsiCo continues to push the boundaries of AI-driven innovation, multiple 70-billion-parameter Llama model has been deployed within our Kubernetes-based AI platform, showcasing our ability to operationalize large-scale LLMs efficiently while optimizing performance, cost, and scalability.

This session will explore our journey of deploying and managing a high-performance LLM on Kubernetes. We’ll share insights on architectural decisions, GPU provisioning, and fine-tuning techniques for efficient inferencing. Attendees will learn how we tackled memory optimization, high availability, cost-performance balancing, and Responsible AI practices.

We’ll also discuss how our infrastructure, orchestration, and resource management evolved to meet large-scale inferencing demands, ensuring AI-driven innovation remains scalable, responsible, and efficient at PepsiCo.
Speakers
avatar for Dhanashree Shetty

Dhanashree Shetty

Architect, PepsiCo
Dhanashree Shetty is a cloud engineer with over 14 years of experience in IT, specializing in cloud infrastructure. As a tech enthusiast, she enjoys exploring emerging technologies such as cloud automation and orchestration, as well as containerization, Kubernetes platforms. In her... Read More →
avatar for Praseed Naduvath

Praseed Naduvath

Platform Architect, PepsiCo
Praseed Naduvath is a techno-manager with over 18 years in IT, specializing in cloud infrastructure, container orchestration, and service mesh technologies. A Certified Kubernetes Administrator and Security Specialist, he excels in managing and securing complex Kubernetes environments... Read More →
Wednesday August 6, 2025 2:10pm - 2:40pm IST
Hall 3
  AI + ML

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