[NPU] Update quantization&CI documentation (#21100)
Co-authored-by: Tamir Baydasov <41994229+TamirBaydasov@users.noreply.github.com>
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You can install SGLang using one of the methods below.
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This page primarily applies to common NVIDIA GPU platforms.
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For other or newer platforms, please refer to the dedicated pages for [AMD GPUs](../platforms/amd_gpu.md), [Intel Xeon CPUs](../platforms/cpu_server.md), [TPU](../platforms/tpu.md), [NVIDIA DGX Spark](https://lmsys.org/blog/2025-11-03-gpt-oss-on-nvidia-dgx-spark/), [NVIDIA Jetson](../platforms/nvidia_jetson.md), [Ascend NPUs](../platforms/ascend_npu.md), and [Intel XPU](../platforms/xpu.md).
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For other or newer platforms, please refer to the dedicated pages for [AMD GPUs](../platforms/amd_gpu.md), [Intel Xeon CPUs](../platforms/cpu_server.md), [TPU](../platforms/tpu.md), [NVIDIA DGX Spark](https://lmsys.org/blog/2025-11-03-gpt-oss-on-nvidia-dgx-spark/), [NVIDIA Jetson](../platforms/nvidia_jetson.md), [Ascend NPUs](../platforms/ascend/ascend_npu.md), and [Intel XPU](../platforms/xpu.md).
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## Method 1: With pip or uv
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