LM Studio vs Ollama vs vLLM: A Comparative Review of Three Local LLM Deployment Solutions

Local LLM deployment compared: Ollama (easiest, personal use), vLLM (highest performance, production), LM Studio (no command line, beginners). Includes quick-start commands for each and a TensorRT-LLM advanced path for NVIDIA users.

💡 What You Will Learn

Local LLM deployment compared: Ollama (easiest, personal use), vLLM (highest performance, production), LM Studio (no command line, beginners). Includes quick-start commands for each and a TensorRT-LLM

📜 Table of Contents

• Local LLM Deployment Options
• vLLM for production
• Pick your path

Local LLM Deployment Options

curl -fsSL https://ollama.com/install.sh | sh
ollama run qwen2.5:7b

vLLM for production

pip install vllm
python -m vllm.entrypoints.openai.api_server --model Qwen/Qwen2.5-7B

Pick your path

• Just playing: Ollama
• Production: vLLM
• No command line: LM Studio
• Have NVIDIA: vLLM + TensorRT-LLM