AI Workloads on Kubernetes - Scaling Smarter and Running Faster with k0rdent

AI Workloads on Kubernetes - Scaling Smarter and Running Faster with k0rdent

Mirantis via YouTube Direct link

0:00 - Intro & background on multi-cluster/multi-tenancy

1 of 11

1 of 11

0:00 - Intro & background on multi-cluster/multi-tenancy

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

AI Workloads on Kubernetes - Scaling Smarter and Running Faster with k0rdent

Automatically move to the next video in the Classroom when playback concludes

  1. 1 0:00 - Intro & background on multi-cluster/multi-tenancy
  2. 2 2:22 - K8s necessitates platform engineering
  3. 3 5:57 - Multi-cluster/multi-cloud is the new norm
  4. 4 8:39 - Overview of open source k0rdent
  5. 5 11:45 - AI deployments w Kserve/Knative + AI Monitoring w Prometheus/Grafana
  6. 6 16:56 - k0rdent Demo pt1: AI workload cluster provisioning
  7. 7 26:32 - k0rdent Demo pt2: deploying AI/ML workloads
  8. 8 35:38 - Testing the Demo deployment
  9. 9 40:17 - Recap
  10. 10 43:04 - k0rdent application/infrastructure catalog
  11. 11 44:58 - Outro

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.