# local-llm.net

> The definitive community guide to deploying AI locally on desktops, mobiles, and servers. Run LLMs on your own hardware with complete privacy and control.

By Srushta Media Limited.

## Learn

- [What Is Local AI?](https://www.local-llm.net/learn/what-is-local-ai/): Complete guide to running AI models on your own hardware
- [Why Run AI Locally](https://www.local-llm.net/learn/why-run-ai-locally/): Privacy, cost, latency, and data sovereignty benefits
- [Local vs Cloud AI](https://www.local-llm.net/learn/local-vs-cloud-ai/): Feature and cost comparison
- [Hardware Requirements](https://www.local-llm.net/learn/hardware-requirements/): GPU, CPU, RAM guide for local AI
- [Choosing a Model](https://www.local-llm.net/learn/choosing-a-model/): Decision framework for model selection
- [Quantization Explained](https://www.local-llm.net/learn/quantization-explained/): GGUF, GPTQ, AWQ, EXL2 formats
- [Glossary](https://www.local-llm.net/learn/glossary/): A-Z local AI terminology

## Tools Directory

- [All Tools](https://www.local-llm.net/tools/): Directory of 73+ local AI tools
- [Ollama](https://www.local-llm.net/tools/ollama/): Single-binary LLM runner
- [llama.cpp](https://www.local-llm.net/tools/llama-cpp/): C/C++ inference engine
- [LM Studio](https://www.local-llm.net/tools/lm-studio/): Desktop LLM application
- [Open WebUI](https://www.local-llm.net/tools/open-webui/): Self-hosted ChatGPT-like interface
- [vLLM](https://www.local-llm.net/tools/vllm/): High-throughput serving engine
- [Mullama](https://www.local-llm.net/tools/mullama/): Multi-language inference engine by Cognisoc
- [Llamafu](https://www.local-llm.net/tools/llamafu/): Flutter mobile AI plugin by Cognisoc
- [ZigLLM](https://www.local-llm.net/tools/zigllm/): Educational transformer implementation by Cognisoc

## Guides

- [Deployment Guides](https://www.local-llm.net/guides/): Windows, macOS, Linux, Docker, Mobile
- [Use Case Guides](https://www.local-llm.net/guides/): RAG, code assistant, voice AI, image generation

## Comparisons

- [Tool Comparisons](https://www.local-llm.net/compare/): Side-by-side comparisons of local AI tools

## Developers

- [Developer Hub](https://www.local-llm.net/developers/): Tutorials, examples, and SDK docs

## Models & Hardware

- [Models](https://www.local-llm.net/models/): Reference pages for 62 local models (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi) with hardware fit and quantization guidance
- [Benchmarks](https://www.local-llm.net/benchmarks/): Local inference performance across 20 GPUs
- [Best Local LLMs](https://www.local-llm.net/best/): Curated "best local LLM for X" picks — Apple Silicon, coding, creative writing, fine-tuning, and more

## Local AI by Country

- [Local AI by country](https://www.local-llm.net/local-ai/): Local-AI landscape pages for 20 countries

## Blog

- [Blog](https://www.local-llm.net/blog/): News, tutorials, benchmarks, and case studies

## Full reference

- [llms-full.txt](https://www.local-llm.net/llms-full.txt): Complete self-contained reference for answer engines