Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Best matched with other inference tools.
A high-throughput and memory-efficient inference and serving engine for LLMs
Best matched with other inference tools.
vllm has the larger GitHub footprint with 86.9K stars.
vllm is currently growing faster at +606 stars this week.
vllm has the stronger automated maintenance signal at 88/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Ipex Llm | vllm |
|---|---|---|
| Evidence status | Basic listing· 2d ago | Recently verified· 2d ago |
| GitHub stars | 8.9K | 86.9K |
| Weekly growth | +63 | +606 |
| Health score | Watch54/100 |
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| Contributors | 125 | 2.6K |
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| Commits per week | 0.0 | 208.8 |
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| Open issues | 1.5K | 4.9K |
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| Language | Python | Python |
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| License | Apache-2.0 | Apache-2.0 |
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| Last commit | 5mo ago | 2d ago |
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| Last release | v2.2.0 | v0.20.2 |
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