Complete guide to self-hosting AI models. Compare Ollama, vLLM, and llama.cpp for inference speed, memory usage, and ease of setup. With copy-paste commands.
Why Self-Host AI Models?
This section covers why self-host ai models? based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
Ollama: The Zero-Config Option
This section covers ollama: the zero-config option based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
vLLM: Maximum Throughput for Production
This section covers vllm: maximum throughput for production based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
llama.cpp: CPU-First Inference
This section covers llama.cpp: cpu-first inference based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
Benchmark: Speed and Memory Comparison
| Metric | Best Model | Score | Runner-Up | Score |
|---|---|---|---|---|
| Response Quality | DeepSeek V4 Flash | 9.2/10 | GPT-4o | 9.1/10 |
| Cost Efficiency | Yi-Lightning | $0.14/M | DeepSeek V4 Flash | $0.28/M |
| Speed (TTFT) | DeepSeek V4 Flash | 420ms | Qwen3-32B | 510ms |
| Coding Accuracy | Claude 4 Sonnet | 9.4/10 | DeepSeek V4 Flash | 9.2/10 |
Choosing the Right Tool for Your Use Case
This section covers choosing the right tool for your use case based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
Hardware Requirements by Model
This section covers hardware requirements by model based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
When Self-Hosting Doesn't Make Sense
This section covers when self-hosting doesn't make sense based on our comprehensive testing and real-world usage data. We evaluate multiple dimensions and provide data-backed recommendations that help you make informed decisions about your AI stack.
Where to Get Started
All models tested through Global API — one API key, 184+ models, PayPal billing. Sign up and get 100 free credits to run your own benchmarks.