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Classroom Contents
DevOps to MLOps: Scaling ML Models to 2 Million+ Requests per Day
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- 1 intro
- 2 preamble
- 3 chinmay naik
- 4 agenda
- 5 what is mlops
- 6 mlops steps
- 7 simpelst mlops flow
- 8 production work ahead
- 9 case study - ekyc saas apis
- 10 ml model apis
- 11 architecture
- 12 ekyc saas apis - requirements
- 13 cloud agnostic architecture
- 14 why cloud agnostic?
- 15 scaling journey
- 16 eliminate single points of failure
- 17 capacity planning
- 18 cost optimization and autoscaling
- 19 production issue 1 - gpu utilization in nomad
- 20 production issue 2 - high latency issue
- 21 lessons
- 22 keep learning
