YoVDO

Strategies for Efficient LLM Deployments in Any Cluster

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses Cloud Computing Courses WebAssembly Courses Model Selection Courses Edge Computing Courses Model Optimization Courses Cluster Management Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore strategies for efficient Large Language Model (LLM) deployments in any cluster through this informative conference talk. Discover how to overcome challenges posed by LLMs' substantial size, resource demands, and management complexity in Kubernetes environments. Learn techniques to reduce model footprint, enabling deployment from cloud to edge. Gain insights on selecting the right model, reducing size, and optimizing resource utilization through WebAssembly. Understand the balance between resource usage and quality in LLM deployments. Stay updated on emerging technologies, projects, and models in this rapidly evolving ecosystem.

Syllabus

Strategies for Efficient LLM Deployments in Any Cluster -Angel M De Miguel Meana & Francisco Cabrera


Taught by

CNCF [Cloud Native Computing Foundation]

Related Courses

Fog Networks and the Internet of Things
Princeton University via Coursera
AWS IoT: Developing and Deploying an Internet of Things
Amazon Web Services via edX
Business Considerations for 5G with Edge, IoT, and AI
Linux Foundation via edX
5G Strategy for Business Leaders
Linux Foundation via edX
Intel® Edge AI Fundamentals with OpenVINO™
Intel via Udacity