diff --git a/build_tools/utils.py b/build_tools/utils.py
index d0f5eab425..f2548b4de6 100644
--- a/build_tools/utils.py
+++ b/build_tools/utils.py
@@ -14,7 +14,7 @@
 import sys
 import platform
 from pathlib import Path
-from importlib.metadata import version as get_version
+from importlib.metadata import PackageNotFoundError, distribution, version as get_version
 from subprocess import CalledProcessError
 from typing import List, Optional, Tuple, Union
 
@@ -292,10 +292,17 @@ def cuda_version() -> Tuple[int, ...]:
         version_str = get_version("nvidia-cuda-runtime-cu12")
         version_tuple = tuple(int(part) for part in version_str.split(".") if part.isdigit())
         return version_tuple
-    except importlib.metadata.PackageNotFoundError:
+    except PackageNotFoundError:
         raise RuntimeError("Could neither find NVCC executable nor CUDA runtime Python package.")
 
 
+def cusolvermp_pypi_package_name(cuda_major: Optional[int] = None) -> str:
+    """PyPI package providing cuSolverMp runtime libraries for a CUDA major version."""
+    if cuda_major is None:
+        cuda_major = cuda_version()[0]
+    return f"nvidia-cusolvermp-cu{cuda_major}"
+
+
 def get_frameworks() -> List[str]:
     """DL frameworks to build support for"""
     _frameworks: List[str] = []
diff --git a/build_tools/wheel_utils/Dockerfile.aarch b/build_tools/wheel_utils/Dockerfile.aarch
index c040dadcdb..4f6635f507 100644
--- a/build_tools/wheel_utils/Dockerfile.aarch
+++ b/build_tools/wheel_utils/Dockerfile.aarch
@@ -35,12 +35,23 @@ RUN dnf clean all
 RUN dnf -y install glog.aarch64 glog-devel.aarch64
 RUN dnf -y install libnccl libnccl-devel libnccl-static
 
+# expose system libs for TE CMake build.
+RUN dnf -y install \
+        libcusolvermp0-cuda-${CUDA_MAJOR} libcusolvermp0-devel-cuda-${CUDA_MAJOR} && \
+    dnf clean all
+RUN mkdir -p /opt/nvidia/cusolvermp && \
+    ln -s /usr/include/libcusolvermp/${CUDA_MAJOR} /opt/nvidia/cusolvermp/include && \
+    ln -s /usr/lib64/libcusolvermp/${CUDA_MAJOR}   /opt/nvidia/cusolvermp/lib && \
+    echo "/usr/lib64/libcusolvermp/${CUDA_MAJOR}" > /etc/ld.so.conf.d/999_nvidia_cusolvermp.conf && \
+    ldconfig
+
 ENV PATH="/usr/local/cuda/bin:${PATH}"
-ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
+ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/opt/nvidia/cusolvermp/lib:${LD_LIBRARY_PATH}"
 ENV CUDA_HOME=/usr/local/cuda
 ENV CUDA_ROOT=/usr/local/cuda
 ENV CUDA_PATH=/usr/local/cuda
 ENV CUDADIR=/usr/local/cuda
+ENV CUSOLVERMP_HOME=/opt/nvidia/cusolvermp
 ENV NVTE_RELEASE_BUILD=1
 
 CMD ["/bin/bash", "-c", "bash /TransformerEngine/build_tools/wheel_utils/build_wheels.sh manylinux_2_28_aarch64 $BUILD_METAPACKAGE $BUILD_COMMON $BUILD_PYTORCH $BUILD_JAX $CUDA_MAJOR"]
diff --git a/build_tools/wheel_utils/Dockerfile.x86 b/build_tools/wheel_utils/Dockerfile.x86
index 2728b6b7c1..b01e443910 100644
--- a/build_tools/wheel_utils/Dockerfile.x86
+++ b/build_tools/wheel_utils/Dockerfile.x86
@@ -35,12 +35,23 @@ RUN dnf clean all
 RUN dnf -y install glog.x86_64 glog-devel.x86_64
 RUN dnf -y install libnccl libnccl-devel libnccl-static
 
+# expose system libs for TE CMake build.
+RUN dnf -y install \
+        libcusolvermp0-cuda-${CUDA_MAJOR} libcusolvermp0-devel-cuda-${CUDA_MAJOR} && \
+    dnf clean all
+RUN mkdir -p /opt/nvidia/cusolvermp && \
+    ln -s /usr/include/libcusolvermp/${CUDA_MAJOR} /opt/nvidia/cusolvermp/include && \
+    ln -s /usr/lib64/libcusolvermp/${CUDA_MAJOR}   /opt/nvidia/cusolvermp/lib && \
+    echo "/usr/lib64/libcusolvermp/${CUDA_MAJOR}" > /etc/ld.so.conf.d/999_nvidia_cusolvermp.conf && \
+    ldconfig
+
 ENV PATH="/usr/local/cuda/bin:${PATH}"
-ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
+ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/opt/nvidia/cusolvermp/lib:${LD_LIBRARY_PATH}"
 ENV CUDA_HOME=/usr/local/cuda
 ENV CUDA_ROOT=/usr/local/cuda
 ENV CUDA_PATH=/usr/local/cuda
 ENV CUDADIR=/usr/local/cuda
+ENV CUSOLVERMP_HOME=/opt/nvidia/cusolvermp
 ENV NVTE_RELEASE_BUILD=1
 
 CMD ["/bin/bash", "-c", "bash /TransformerEngine/build_tools/wheel_utils/build_wheels.sh manylinux_2_28_x86_64 $BUILD_METAPACKAGE $BUILD_COMMON $BUILD_PYTORCH $BUILD_JAX $CUDA_MAJOR"]
diff --git a/build_tools/wheel_utils/build_wheels.sh b/build_tools/wheel_utils/build_wheels.sh
index ff422e9d2c..17bde4ef17 100644
--- a/build_tools/wheel_utils/build_wheels.sh
+++ b/build_tools/wheel_utils/build_wheels.sh
@@ -25,6 +25,10 @@ git submodule update --init --recursive
 # Install deps
 /opt/python/cp310-cp310/bin/pip install cmake pybind11[global] ninja setuptools wheel
 
+# Enable optional build features. cuSolverMp is provided by the build image
+# (see Dockerfile.x86 / Dockerfile.aarch), which also sets CUSOLVERMP_HOME.
+export NVTE_WITH_CUSOLVERMP=1
+
 if $BUILD_METAPACKAGE ; then
         cd /TransformerEngine
         NVTE_BUILD_METAPACKAGE=1 /opt/python/cp310-cp310/bin/python setup.py bdist_wheel 2>&1 | tee /wheelhouse/logs/metapackage.txt
diff --git a/setup.py b/setup.py
index ec277b6349..7f6b51c148 100644
--- a/setup.py
+++ b/setup.py
@@ -20,6 +20,7 @@
 from build_tools.utils import (
     cuda_archs,
     cuda_version,
+    cusolvermp_pypi_package_name,
     get_frameworks,
     remove_dups,
     min_python_version_str,
@@ -109,6 +110,7 @@ def setup_requirements() -> Tuple[List[str], List[str]]:
         "pydantic",
         "importlib-metadata>=1.0",
         "packaging",
+        cusolvermp_pypi_package_name(),
     ]
     test_reqs: List[str] = ["pytest>=8.2.1"]
 
diff --git a/transformer_engine/common/__init__.py b/transformer_engine/common/__init__.py
index 40933f17a9..fd2d146616 100644
--- a/transformer_engine/common/__init__.py
+++ b/transformer_engine/common/__init__.py
@@ -255,6 +255,29 @@ def _nvidia_cudart_include_dir() -> str:
     return str(include_dir) if include_dir.exists() else ""
 
 
+@functools.lru_cache(maxsize=None)
+def _is_cusolvermp_installed_in_system() -> bool:
+    """Check if cuSolverMp is registered in the system library cache."""
+
+    if platform.system() != "Linux":
+        return False
+
+    try:
+        result = subprocess.run(
+            ["ldconfig", "-p"],
+            capture_output=True,
+            text=True,
+            check=False,
+        )
+    except (OSError, subprocess.SubprocessError):
+        return False
+
+    if result.returncode != 0:
+        return False
+
+    return any("cusolvermp" in line.lower() for line in result.stdout.splitlines())
+
+
 @functools.lru_cache(maxsize=None)
 def _load_cuda_library_from_python(lib_name: str, strict: bool = False):
     """
@@ -369,6 +392,11 @@ def _load_core_library():
     _, _CUDNN_LIB_CTYPES = _load_cuda_library("cudnn")
     system_nvrtc, _NVRTC_LIB_CTYPES = _load_cuda_library("nvrtc")
     system_curand, _CURAND_LIB_CTYPES = _load_cuda_library("curand")
+    _CUSOLVERMP_LIB_CTYPES = None
+    if not _is_cusolvermp_installed_in_system() and any(
+        _is_package_installed(p) for p in ("nvidia-cusolvermp-cu12", "nvidia-cusolvermp-cu13")
+    ):
+        _, _CUSOLVERMP_LIB_CTYPES = _load_cuda_library_from_python("cusolverMp", strict=False)
 
     # This additional step is necessary to be able to install TE wheels
     # and import TE (without any guards) in an environment where the cuda