vllm/docs/getting_started/installation/cpu/build.inc.md

First, install the recommended compiler. We recommend using `gcc/g++ >= 12.3.0` as the default compiler to avoid potential problems. For example, on Ubuntu 22.4, you can run:

```bash
sudo apt-get update  -y
sudo apt-get install -y --no-install-recommends ccache git curl wget ca-certificates gcc-12 g++-12 libtcmalloc-minimal4 libnuma-dev ffmpeg libsm6 libxext6 libgl1 jq lsof
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12
```

Second, clone the vLLM project:

```bash
git clone https://github.com/vllm-project/vllm.git vllm_source
cd vllm_source
```

Third, install required dependencies:

```bash
uv pip install -r requirements/cpu-build.txt --torch-backend auto
uv pip install -r requirements/cpu.txt --torch-backend auto
```

??? console "pip"
    ```bash
    pip install --upgrade pip
    pip install -v -r requirements/cpu-build.txt --extra-index-url https://download.pytorch.org/whl/cpu
    pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
    ```

Finally, build and install vLLM:

```bash
VLLM_TARGET_DEVICE=cpu python setup.py install
```

If you want to develop vLLM, install it in editable mode instead.

```bash
VLLM_TARGET_DEVICE=cpu python setup.py develop
```

!!! note
    If you are building vLLM from source and not using the pre-built images, remember to set `LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:$LD_PRELOAD"` on x86 machines before running vLLM.

# --8<-- [end:extra-information]