feat: add blackwell Dockerfile (#5302)

docker/Dockerfile.blackwell

@@ -0,0 +1,19 @@
+ARG CUDA_VERSION=12.8.1
+
+FROM pytorch/manylinux2_28-builder:cuda12.8
+
+ARG BUILD_TYPE=all
+ENV DEBIAN_FRONTEND=noninteractive
+
+WORKDIR /sgl-workspace
+
+RUN pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
+
+RUN pip3 install nvidia-nccl-cu12==2.26.2.post1 \
+    && pip3 install https://github.com/sgl-project/whl/releases/download/v0.0.8.post1/sgl_kernel-0.0.8.post1+cu128-cp39-abi3-manylinux2014_x86_64.whl \
+    && pip3 install setuptools==75.0.0 wheel==0.41.0 scikit-build-core
+
+RUN git clone --depth=1 https://github.com/sgl-project/sglang.git \
+    && pip3 install -e "python[blackwell]"
+
+ENV DEBIAN_FRONTEND=interactive

python/pyproject.toml

@@ -57,6 +57,17 @@ srt = [
     "einops",
 ]
 
+blackwell = [
+    "sglang[runtime_common]",
+    "sgl-kernel",
+    "torch",
+    "torchvision",
+    "cuda-python",
+    "outlines>=0.0.44,<=0.1.11",
+    "partial_json_parser",
+    "einops",
+]
+
 # HIP (Heterogeneous-computing Interface for Portability) for AMD
 # => base docker rocm/vllm-dev:20250114, not from public vllm whl
 srt_hip = [