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13 changes: 11 additions & 2 deletions docs/source/getting_started/quickstart.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,10 +15,19 @@ This guide will help you quickly get started with vLLM to perform:
## Installation

If you are using NVIDIA GPUs, you can install vLLM using [pip](https://pypi.org/project/vllm/) directly.
It's recommended to use [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) to create and manage Python environments.

It's recommended to use [uv](https://docs.astral.sh/uv/), a very fast Python environment manager, to create and manage Python environments. Please follow the [documentation](https://docs.astral.sh/uv/#getting-started) to install `uv`. After installing `uv`, you can create a new Python environment and install vLLM using the following commands:

```console
$ uv venv myenv --python 3.12 --seed
$ source myenv/bin/activate
$ uv pip install vllm
```

You can also use [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) to create and manage Python environments.

```console
$ conda create -n myenv python=3.10 -y
$ conda create -n myenv python=3.12 -y
$ conda activate myenv
$ pip install vllm
```
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