YoVDO

Scale Your Batch, Big Data, and AI Workloads Beyond the Kubernetes Scheduler

Offered By: DevConf via YouTube

Tags

Kubernetes Courses Artificial Intelligence Courses Big Data Courses Batch Processing Courses Distributed Training Courses Karmada Courses Kueue Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the challenges and solutions for scaling batch, big data, and AI workloads on Kubernetes in this 25-minute DevConf.US 2024 conference talk. Delve into the limitations of the traditional Kubernetes scheduler when handling resource-intensive, highly-coupled processes. Discover recent innovations in the Kubernetes ecosystem designed to address issues such as resource fragmentation, quota management, auto-scaling, and priority handling. Compare projects like Karmada, Koordinator, Kueue, MCAD, Volcano, and YuniKorn, examining their design choices and trade-offs. Gain insights to help you select the most suitable solution for optimizing cluster utilization and managing batch workloads effectively in your Kubernetes environment.

Syllabus

Scale your Batch / Big Data / AI Workloads Beyond the Kubernetes Scheduler - DevConf.US 2024


Taught by

DevConf

Related Courses

Custom and Distributed Training with TensorFlow
DeepLearning.AI via Coursera Architecting Production-ready ML Models Using Google Cloud ML Engine
Pluralsight Building End-to-end Machine Learning Workflows with Kubeflow
Pluralsight Deploying PyTorch Models in Production: PyTorch Playbook
Pluralsight Inside TensorFlow
TensorFlow via YouTube