diff --git a/docker/b300.Dockerfile b/docker/b300.Dockerfile
deleted file mode 100644
index 54ee1bec9..000000000
--- a/docker/b300.Dockerfile
+++ /dev/null
@@ -1,55 +0,0 @@
-FROM nvcr.io/nvidia/pytorch:25.08-py3 AS base
-
-ARG BRANCH_TYPE=remote
-
-# Python tools
-RUN python3 -m pip install --no-cache-dir \
-    datamodel_code_generator \
-    mooncake-transfer-engine==0.3.7.post2 \
-    pre-commit \
-    pytest \
-    black \
-    isort \
-    icdiff \
-    uv \
-    wheel \
-    scikit-build-core \
-    nixl \
-    py-spy
-
-FROM scratch AS local_src
-COPY . /src
-
-FROM base AS build-image
-WORKDIR /sgl-workspace
-ARG BRANCH_TYPE
-COPY --from=local_src /src /tmp/local_src
-RUN if [ "$BRANCH_TYPE" = "local" ]; then \
-        cp -r /tmp/local_src /sgl-workspace/sglang; \
-    else \
-        git clone --depth=1 https://github.com/sgl-project/sglang.git /sgl-workspace/sglang; \
-    fi \
- && rm -rf /tmp/local_src
-
-# Modify source code to use existing torch
-# Remove after the next torch release
-RUN sed -i "/torch/d" sglang/sgl-kernel/pyproject.toml && \
-    sed -i -e "/torchaudio/d" \
-        -e "s/torch==2.8.0/torch==2.8.0a0+34c6371d24.nv25.8/" \
-        -e "s/torchao==0.9.0/torchao==0.12.0+git/" \
-        sglang/python/pyproject.toml
-
-# Necessary for cuda 13
-ENV CPLUS_INCLUDE_PATH=/usr/local/cuda/include/cccl
-
-# Make fa_4 run on B300
-ENV CUTE_DSL_ARCH=sm_100f
-
-RUN cd sglang/sgl-kernel/ && \
-    make build && \
-    cd .. && \
-    python3 -m pip install -e "python[all]"
-
-# Modify Triton source file to support cuda 13
-ENV TRITON_DIR=/usr/local/lib/python3.12/dist-packages/triton
-RUN grep -q 'if major >= 13:' ${TRITON_DIR}/backends/nvidia/compiler.py || bash -lc $'sed -i \'/^def ptx_get_version(cuda_version) -> int:/,/^[[:space:]]*raise RuntimeError/s/^\\([[:space:]]*\\)raise RuntimeError.*/\\1if major >= 13:\\n\\1    base_ptx = 90\\n\\1    return base_ptx + (major - 13) * 10 + minor\\n\\n\\1raise RuntimeError("Triton only support CUDA 10.0 or higher, but got CUDA version: " + cuda_version)/\' ${TRITON_DIR}/backends/nvidia/compiler.py'