Model Deployment
Noun · AI & Machine Learning
Definitions
The process and resulting setup for releasing a model into an environment where it can serve real workloads. Model deployment includes packaging, routing, version control, monitoring, rollback planning, and integration with surrounding systems.
In plain English: Putting an AI model into an environment where it can actually be used.
Example: "The model deployment used a shadow phase first so predictions could be compared before the new version affected customer traffic."
Related Terms
- AI Deploy
- AI Deployment
- AI Edge
- AI Language
- AI Parameter
- Classifier
- Model Benchmark
- Model Config
- Model Context
- Model Family
- Model Format
- Model Hosting
- Model Interface
- Model Latency
- Model License
- Model Lifecycle
- Model Migration
- Model Monitor
- Model Parameter
- Model Safety
- Model Selection
- Model State
- Model Temperature
- Model Tokenizer
- Model Validation
- Model Weight
- Open Source AI
- Parameter Count
- Ranking Model
- Reasoning Model
- Representation
- Retrieval Model
- Scoring Model
- Sequence Model