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AI Intermediate: Infrastructure & Agentic Systems Series' Articles

Back to Suresh Kumar Pallapothu's Series
Day 1: The AI Infrastructure Shift — Why the Model is Only 10% of the Production System

Day 1: The AI Infrastructure Shift — Why the Model is Only 10% of the Production System

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5 min read
Day 2: Advanced Docker for AI — Multi-Stage Builds for Heavy Python Runtimes

Day 2: Advanced Docker for AI — Multi-Stage Builds for Heavy Python Runtimes

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4 min read
Day 3: Hardware Acceleration in Docker — GPU Passthrough and Limits for Constrained Hardware

Day 3: Hardware Acceleration in Docker — GPU Passthrough and Limits for Constrained Hardware

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4 min read
Day 4: Optimizing Model Weights — Quantization Basics (GGUF, AWQ) for Efficient Inference

Day 4: Optimizing Model Weights — Quantization Basics (GGUF, AWQ) for Efficient Inference

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4 min read
Day 5: Local AI Runtimes — Deploying Ollama and vLLM for Bare-Metal Execution

Day 5: Local AI Runtimes — Deploying Ollama and vLLM for Bare-Metal Execution

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3 min read
Day 6: Containerizing AI Microservices — Building and Packaging APIs with FastAPI

Day 6: Containerizing AI Microservices — Building and Packaging APIs with FastAPI

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4 min read
Day 7: Docker Compose — Architecting a Multi-Container Database and Inference Stack Locally

Day 7: Docker Compose — Architecting a Multi-Container Database and Inference Stack Locally

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4 min read