Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Effortless Scalability - Orchestrating Large Language Model Inference with Kubernetes

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of deploying and orchestrating large open-source inference models on Kubernetes in this 23-minute conference talk from the Cloud Native Computing Foundation (CNCF). Dive into the automation of heavyweight model deployments like Falcon and Llama 2 using Kubernetes Custom Resource Definitions (CRDs). Learn how to manage large model files through container images and streamline deployment with an HTTP server for inference calls. Discover techniques for eliminating manual tuning of deployment parameters, auto-provisioning GPU nodes based on model requirements, and empowering users to deploy containerized models effortlessly. Gain insights into dynamic deployment workload creation utilizing all GPU nodes and optimizing resource utilization in the AI/ML landscape.

Syllabus

Effortless Scalability: Orchestrating Large Language Model Inference with Kubernetes

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of Effortless Scalability - Orchestrating Large Language Model Inference with Kubernetes

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.