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Copyright (c) A|iens. All rights reserved.

============================================================ Article Name : Model Serving UTag :…

Overview
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Copyright (c) A|iens. All rights reserved. — Quick Facts

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Property: Detail

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Concept Name: Model Serving

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Also Known As: Model Deployment, Model Inference,…

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Category: AI / Machine Learning / MLOps

Topic 1
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Infobox

📚 | Property | Detail | |---|---| | Concept Name | Model Serving | | Also Known As | Model…
Topic 2
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Itihaas (History)

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LLM Serving — Large Language…

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vLLM, TGI (Text Generation…

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Serverless Inference — AWS Lambda,…

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Edge Serving — Models directly…

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Serving Patterns

🎯 Model serving ke kai patterns hain — har ek alag use case ke liye optimize hai. 1.…
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Serving Patterns Comparison Table

⭐ | Pattern | Latency | Throughput | Infrastructure Cost | Use Case Fit | Complexity |…
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Serving Architecture

🔑 `mermaid flowchart TD A["🌐 Client Request\n(Web App / Mobile / API)"] --> B["🔒 API…
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Infrastructure Components

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REST: Simple, HTTP-based, JSON…

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gRPC: Faster (binary protocol),…

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Model Optimization for Serving

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Post-training quantization:…

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Quantization-aware training:…

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Structured pruning: Poore…

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Unstructured pruning: Individual…

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Serving Frameworks and Tools

🚀 | Tool / Framework | Developer | Key Strengths | Supported Formats | Best For |…
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Scaling Strategies

📚 Production me traffic badhe toh model serving scale karna zaroori hai. Horizontal Scaling…
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Deployment Strategies

💡 Naye model version ko safely production me laana ek art hai. Blue-Green Deployment Do…
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Challenges in Production

🎯 1. Feature-Training Skew Training me features alag compute hue the, serving me alag. Even…
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Best Practices

⭐ 1. Containerize Everything — Model serving ko Docker container me package karo.…
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Glossary

🔑 | Term | Meaning | |---|---| | Model Serving | Trained ML model ko production me deploy…
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Disclaimer

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v1.0.0: Initial comprehensive…

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LLM-specific serving deep-dive (KV…

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Edge/mobile serving details…

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Multi-model serving architectures…

Comparison
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Serving Patterns Comparison Table

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Real-Time: Very Low (< 100ms)

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Batch: High (min–hours)

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Near-Real-Time: Low–Medium (sec–min)

Diagram
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Visual Flow

📊 Diagram visualization — details in narration
Related Topics

See Also

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Machine Learning

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Model

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Model Evaluation

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Model Monitoring

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Model Drift

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MLOps

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