diff --git a/python/pyproject.toml b/python/pyproject.toml
index fee1b6e7ae8b..5acd2704bc26 100755
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sglang"
-version = "0.5.5.post3+hs5"
+version = "0.5.5.post3+hs7"
 description = "SGLang is a fast serving framework for large language models and vision language models."
 readme = "README.md"
 requires-python = ">=3.10"
diff --git a/python/sglang/srt/layers/deep_gemm_wrapper/configurer.py b/python/sglang/srt/layers/deep_gemm_wrapper/configurer.py
index 9bb34046d51c..494b884261d5 100644
--- a/python/sglang/srt/layers/deep_gemm_wrapper/configurer.py
+++ b/python/sglang/srt/layers/deep_gemm_wrapper/configurer.py
@@ -18,8 +18,14 @@ def _compute_enable_deep_gemm():
 
     return envs.SGLANG_ENABLE_JIT_DEEPGEMM.get()
 
-
-ENABLE_JIT_DEEPGEMM = _compute_enable_deep_gemm()
+# deepgemm requires CUDA toolkit and will error out on Blackwell GPU if missing.
+#   File "/.pyenv/versions/3.12.7/lib/python3.12/site-packages/deep_gemm/__init__.py", line 42, in _ensure_initialized
+#     torch.ops.deep_gemm.init(library_root, _find_cuda_home())
+#                                            ^^^^^^^^^^^^^^^^^
+#   File "/.pyenv/versions/3.12.7/lib/python3.12/site-packages/deep_gemm/__init__.py", line 30, in _find_cuda_home
+#     assert cuda_home is not None
+#            ^^^^^^^^^^^^^^^^^^^^^
+ENABLE_JIT_DEEPGEMM = False
 
 DEEPGEMM_BLACKWELL = ENABLE_JIT_DEEPGEMM and is_blackwell()
 DEEPGEMM_SCALE_UE8M0 = DEEPGEMM_BLACKWELL