diff --git a/docker/Dockerfile b/docker/Dockerfile
index cec05825d..264397f85 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -41,26 +41,26 @@ RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \
     && cd sglang \
     && if [ "$BUILD_TYPE" = "srt" ]; then \
          if [ "$CUDA_VERSION" = "12.1.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu121/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu118/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu118/torch2.5/flashinfer/; \
            python3 -m pip install sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
          else \
            echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
          fi; \
        else \
          if [ "$CUDA_VERSION" = "12.1.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/; \
          elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu118/torch2.4/flashinfer/; \
+           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu118/torch2.5/flashinfer/; \
            python3 -m pip install sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
          else \
            echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
diff --git a/docs/start/install.md b/docs/start/install.md
index fc1a936c6..38bce59f0 100644
--- a/docs/start/install.md
+++ b/docs/start/install.md
@@ -6,7 +6,7 @@ You can install SGLang using any of the methods below.
 ```
 pip install --upgrade pip
 pip install sgl-kernel --force-reinstall --no-deps
-pip install "sglang[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/
+pip install "sglang[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/
 ```
 
 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.
@@ -19,7 +19,7 @@ cd sglang
 
 pip install --upgrade pip
 pip install sgl-kernel --force-reinstall --no-deps
-pip install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/
+pip install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer/
 ```
 
 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. If you meet with issue like **ImportError: cannot import name `_grouped_size_compiled_for_decode_kernels`**, installing FlashInfer with some older version like 0.1.6 instead of the latest version could solve it.