Speaker

Prem Pradeep Motgi

Prem Pradeep Motgi

Senior Systems Development Engineer at Dell Technologies

Austin, Texas, United States

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Prem is a Senior Systems Engineer at Dell Technologies, specializing in AI Solutions Engineering. With a background in AI, ML, and Edge computing from Santa Clara University, and solutions engineering experience from Vodafone, he now contributes to Dell’s Validated Designs on AI. This includes Gen-AI, MLOps, Driverless AI, and multi-instance GPUs. Passionate about open-source technology, he focuses on end-to-end solutions in the AI landscape, with a particular emphasis on systems engineering.

Area of Expertise

  • Information & Communications Technology
  • Transports & Logistics
  • Travel & Tourism

Topics

  • Artificial Intelligence
  • Kubernetes
  • Large Language Models
  • generative ai
  • Solutions Engineering
  • Performance Testing and Engineering

Navigating the lifecycle of LLMs: A focus on Efficiency, Scalability, Observability and AI Ops

In the rapidly evolving field of AI, particularly Gen-AI, establishing best practices for Large Language Models (LLMs) that are applicable across various use-cases is crucial. As the number of new tools and frameworks focusing on different parts of the lifecycle increases, their cohesive integration becomes essential for any production-ready setup. This session explores cloud-native tools and frameworks that enable a smooth transition from proof-of-concept to production. We’ll showcase how to efficiently fine-tune LLMs with accelerators and deploy optimized models using scalable and observable tools. We’ll also discuss the lifecycle of an LLM in a Kubernetes-powered multi-node environment, from data preprocessing to model deployment and AI observability. The session aims to provide a comprehensive view of the current landscape, emphasizing the importance of a seamless LLM lifecycle and how it can be implemented in your ML infrastructure.

Prem Pradeep Motgi

Senior Systems Development Engineer at Dell Technologies

Austin, Texas, United States

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