Runtime comparison
Ollama vs TabbyAPI
Ollama is a MIT-licensed runtime for Linux · macOS · Windows running on CUDA · Metal · CPU · ROCm; TabbyAPI is AGPL-3.0-licensed for Linux · Windows on CUDA · ROCm. Ollama rates easier to set up (5/5 vs 3/5 in our sourced ratings). Pick Ollama for getting a model running fastest; pick TabbyAPI for serving many requests at once.
| Spec | Ollama | TabbyAPI |
|---|---|---|
| License | MIT | AGPL-3.0 |
| Operating systems | Linux · macOS · Windows | Linux · Windows |
| GPU backends | CUDA · Metal · CPU · ROCm | CUDA · ROCm |
| Install | binary | source |
| Ease of use | 5/5 | 3/5 |
| Quant formats | gguf | exl2 |
| Engine | llama.cpp | exllamav2 |
| GitHub stars | 175,773 | 1,273 |
| Latest version | v0.31.2 | — |
| Graphical app (GUI) | No | No |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | Yes | No |
| Multi-GPU | Yes | Yes |
| Speculative decoding | Yes | Yes |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
Ollama
Best for getting a model running fastest. Command line and server, installs in one line, runs on CUDA · Metal · CPU · ROCm.
Full Ollama guide →TabbyAPI
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full TabbyAPI guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: Ollama github.com/ollama/ollama (as of 2026-07-11); TabbyAPI github.com/theroyallab/tabbyAPI (as of 2026-07-08).