docs: update Python prerequisite to 3.10 (#23801)

docs/developer_guide/bench_serving.md

@@ -21,7 +21,7 @@ If `--base-url` is provided, requests are sent to it. Otherwise, `--host` and `-
 
 ### Prerequisites
 
-- Python 3.8+
+- Python 3.10+
 - Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
 - An inference server running and reachable via the endpoints above
 - If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)

docs_new/docs/developer_guide/bench_serving.mdx

@@ -24,7 +24,7 @@ If `--base-url` is provided, requests are sent to it. Otherwise, `--host` and `-
 
 ### Prerequisites
 
-- Python 3.8+
+- Python 3.10+
 - Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
 - An inference server running and reachable via the endpoints above
 - If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)

docs_new/docs/get-started/install.mdx

@@ -11,6 +11,10 @@ You can install SGLang using one of the methods below.
 This page primarily applies to common NVIDIA GPU platforms.
 For other or newer platforms, please refer to the dedicated pages for [AMD GPUs](../hardware-platforms/amd_gpu), [Intel Xeon CPUs](../hardware-platforms/cpu_server), [Google TPU](../hardware-platforms/tpu), [NVIDIA DGX Spark](https://lmsys.org/blog/2025-11-03-gpt-oss-on-nvidia-dgx-spark/), [NVIDIA Jetson](../hardware-platforms/nvidia_jetson), [Ascend NPUs](../hardware-platforms/ascend-npus/ascend_npu), and [Intel XPU](../hardware-platforms/xpu).
 
+<Note>
+Prerequisites: Python 3.10 or higher.
+</Note>
+
 ## Method 1: With pip or uv
 
 It is recommended to use uv for faster installation:

docs_new/docs/get-started/quickstart.mdx

@@ -17,7 +17,7 @@ By the end, you'll have a working SGLang server responding to your prompts.
 
 ## Prerequisites
 
-- **Python**: 3.9 or higher
+- **Python**: 3.10 or higher
 - **GPU**: NVIDIA GPU with CUDA support (sm75 and above, e.g., T4, A10, A100, L4, L40S, H100)
 - **OS**: Linux (recommended)