🚀 Deployment & Serving

Local inference, production serving, MLOps and engineering practice · 14 resources (14 checked)

Open Source Project Beginner ★ Featured

Ollama Local LLM Tool

Ollama · Deployment & Serving

Run open-source LLMs locally with a single command on Windows, macOS, or Linux — the go-to starting point for local deployment.

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Open Source Project Advanced

vLLM Official Documentation

vLLM 社区 · Deployment & Serving

A high-performance LLM inference and serving engine; PagedAttention dramatically boosts throughput, with support for mainstream open-source models.

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Open Source Project Beginner

Open WebUI

Open WebUI · Deployment & Serving

A self-hosted AI chat interface that supports Ollama and OpenAI-compatible APIs, and can be deployed offline on an intranet.

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Tool & Platform Beginner

LM Studio Local Model Tool

LM Studio · Deployment & Serving

A GUI tool for running LLMs locally, with one-click model downloads and local chat — beginner friendly.

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Open Source Project Advanced

llama.cpp Inference Engine

ggerganov · Deployment & Serving

A pure C/C++ inference engine that runs LLMs even on CPU — one of the de facto standards for local deployment.

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Open Source Project Advanced

Hugging Face Text Generation Inference

Hugging Face · Deployment & Serving

Hugging Face's official inference serving framework with continuous batching and tensor parallelism, built for API-style deployment.

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Official Docs Beginner

Gradio Official Documentation

Gradio · Deployment & Serving

A Python library for ML demo interfaces — wrap a model into a shareable web app in a few lines.

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Official Docs Beginner

Streamlit Official Documentation

Streamlit · Deployment & Serving

A pure-Python framework for interactive web apps — a popular pick for AI prototypes and internal tools.

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Open Source Project Intermediate

MLflow Official Documentation

MLflow · Deployment & Serving

An open-source MLOps platform covering the full lifecycle: experiment tracking, model registry, and deployment management.

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Free Tutorial Intermediate

Made With ML Course

Goku Mohandas · Deployment & Serving

A production-oriented ML course covering the full engineering loop: features, training, deployment, and monitoring.

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Official Course Intermediate

Full Stack Deep Learning

Full Stack Deep Learning · Deployment & Serving

A university-backed full-stack deep learning course spanning the whole engineering pipeline from data to deployment.

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Official Docs Intermediate

Weights & Biases Documentation

W&B · Deployment & Serving

Docs for the popular experiment tracking platform: log metrics, compare runs, and manage datasets, with a generous free tier for individuals.

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Open Source Project Intermediate

AI Engineer Roadmap Repository

dswh · Deployment & Serving

A three-stage learning roadmap repository from LLM API basics to LLMOps, with a long list of project ideas.

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