Ollama vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Ollama
Ollama is an open-source framework designed to simplify the process of running large language models (LLMs) locally.
Read the full reviewAirLLM
Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.
Read the full review| Attribute | Ollama | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $20/mo) | Free |
| Korean support | Partial | No |
| Platforms | macOS, Windows, Linux, API, CLI, Desktop | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | Yes | Yes |
| API available | Available | - |
| SDK | Available | - |
| LLM-based | Yes | - |
| Multimodal | Yes | - |
| AI model | - | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 180.3K | 33.8K |
| Vendor | Ollama Inc. | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Ollama key features
- Local LLM execution and management
- Support for vast open-source model library
- REST API and CLI interface
- Multimodal support (image analysis)
- Ollama Cloud integration
- Automatic GPU acceleration
AirLLM key features
- Reducing GPU memory usage through layer-wise model streaming
- Supporting inference of 70B-class models on a single 4GB GPU
- AutoModel interface based on Hugging Face model IDs
- 4-bit and 8-bit block-wise model compression
- Supporting CPU inference and Apple Silicon macOS
- Supporting various model families including Llama, Qwen, DeepSeek, and Mistral