feat: use CUDA 12.4 by default (for FA3) (#2682)
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@@ -5,7 +5,7 @@ You can install SGLang using any of the methods below.
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## Method 1: With pip
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```
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pip install --upgrade pip
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pip install "sglang[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/
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pip install "sglang[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/
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```
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Note: Please check the [FlashInfer installation doc](https://docs.flashinfer.ai/installation.html) to install the proper version according to your PyTorch and CUDA versions.
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@@ -17,7 +17,7 @@ git clone -b v0.4.1.post3 https://github.com/sgl-project/sglang.git
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cd sglang
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pip install --upgrade pip
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pip install -e "python[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/
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pip install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/
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```
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Note: Please check the [FlashInfer installation doc](https://docs.flashinfer.ai/installation.html) to install the proper version according to your PyTorch and CUDA versions.
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