How to Reduce ML Computing Costs: Building Efficient Multi-Cloud Infrastructure

How to Reduce ML Computing Costs: Building Efficient Multi-Cloud Infrastructure

MLOps World: Machine Learning in Production via YouTube Direct link

Cloud Troubleshooting

10 of 16

10 of 16

Cloud Troubleshooting

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How to Reduce ML Computing Costs: Building Efficient Multi-Cloud Infrastructure

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  1. 1 Intro
  2. 2 From notebooks to training jobs
  3. 3 Experiment dashboard
  4. 4 Cluster Dashboard
  5. 5 Multi-Cloud ML Infrastructure
  6. 6 Build hybrid cluster with Kubernetes & Terraform
  7. 7 Terraforming AWS Infrastructure
  8. 8 Test AWS Infrastructure
  9. 9 Terraforming GCP Infrastructure
  10. 10 Cloud Troubleshooting
  11. 11 Dataset Mounting
  12. 12 Cluster Management & Monitoring
  13. 13 Common Interface
  14. 14 Fractional GPUs
  15. 15 multicluster-scheduler
  16. 16 reCap: Step-by-Step Guide

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