Cedana vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Cedana
Cedana extends Kubernetes and SLURM to orchestrate AI workflows with live migration and system-level checkpointing capabilities.
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 | Cedana | AirLLM |
|---|---|---|
| Pricing type | Paid | Free |
| Korean support | No | No |
| Platforms | Web, Linux, Docker, Kubernetes, Slurm | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | Yes | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | - | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 134 | 33.8K |
| Vendor | Cedana | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Cedana key features
- CPU/GPU live migration
- System-level checkpointing
- Real-time scheduling based on price and performance
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