Deep Learning / 30
Production Deep Learning
Follow models into serving, batching, deployment, monitoring, versioning, and rollback.
A model becomes valuable when it works outside the notebook.
This is a knowledge index. Published titles open their articles; the remaining entries outline planned coverage.
Subtopics
- 30.01
From Training to Serving
Planned guide: From Training to Serving. Focus on intuition, assumptions, and a worked example.
- 30.02
Model Serialization
Planned guide: Model Serialization. Focus on intuition, assumptions, and a worked example.
- 30.03
Model Serving
Planned guide: Model Serving. Focus on intuition, assumptions, and a worked example.
- 30.04
Batch Inference
Planned guide: Batch Inference. Focus on intuition, assumptions, and a worked example.
- 30.05
Online Inference
Planned guide: Online Inference. Focus on intuition, assumptions, and a worked example.
- 30.06
GPU Inference
Planned guide: GPU Inference. Focus on intuition, assumptions, and a worked example.
- 30.07
CPU Inference
Planned guide: CPU Inference. Focus on intuition, assumptions, and a worked example.
- 30.08
Dynamic Batching
Planned guide: Dynamic Batching. Focus on intuition, assumptions, and a worked example.
- 30.09
Inference Caching
Planned guide: Inference Caching. Focus on intuition, assumptions, and a worked example.
- 30.10
Quantized Serving
Planned guide: Quantized Serving. Focus on intuition, assumptions, and a worked example.
- 30.11
Deployment
Planned guide: Deployment. Focus on intuition, assumptions, and a worked example.
- 30.12
Containerization
Planned guide: Containerization. Focus on intuition, assumptions, and a worked example.
- 30.13
Kubernetes
Planned guide: Kubernetes. Focus on intuition, assumptions, and a worked example.
- 30.14
Autoscaling
Planned guide: Autoscaling. Focus on intuition, assumptions, and a worked example.
- 30.15
Model Monitoring
Planned guide: Model Monitoring. Focus on intuition, assumptions, and a worked example.
- 30.16
Data Drift
Planned guide: Data Drift. Focus on intuition, assumptions, and a worked example.
- 30.17
Distribution Shift
Planned guide: Distribution Shift. Focus on intuition, assumptions, and a worked example.
- 30.18
Performance Monitoring
Planned guide: Performance Monitoring. Focus on intuition, assumptions, and a worked example.
- 30.19
Latency Monitoring
Planned guide: Latency Monitoring. Focus on intuition, assumptions, and a worked example.
- 30.20
GPU Utilization
Planned guide: GPU Utilization. Focus on intuition, assumptions, and a worked example.
- 30.21
Cost Monitoring
Planned guide: Cost Monitoring. Focus on intuition, assumptions, and a worked example.
- 30.22
Model Versioning
Planned guide: Model Versioning. Focus on intuition, assumptions, and a worked example.
- 30.23
Rollback
Planned guide: Rollback. Focus on intuition, assumptions, and a worked example.
- 30.24
Canary Deployment
Planned guide: Canary Deployment. Focus on intuition, assumptions, and a worked example.
- 30.25
Production Failure Modes
Planned guide: Production Failure Modes. Focus on intuition, assumptions, and a worked example.


