diff --git a/.github/workflows/build-sphinx.yml b/.github/workflows/build-sphinx.yml
index 46d6667b99b..c1a10a4715e 100644
--- a/.github/workflows/build-sphinx.yml
+++ b/.github/workflows/build-sphinx.yml
@@ -104,7 +104,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
diff --git a/.github/workflows/conda-package.yml b/.github/workflows/conda-package.yml
index 4481223e052..6c34fa976d7 100644
--- a/.github/workflows/conda-package.yml
+++ b/.github/workflows/conda-package.yml
@@ -103,7 +103,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
@@ -197,7 +196,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
@@ -327,7 +325,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
@@ -469,7 +466,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
@@ -505,7 +501,6 @@ jobs:
     steps:
       - uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
diff --git a/.github/workflows/generate_coverage.yaml b/.github/workflows/generate_coverage.yaml
index 3db8f2e311a..36a7aecf28d 100644
--- a/.github/workflows/generate_coverage.yaml
+++ b/.github/workflows/generate_coverage.yaml
@@ -62,7 +62,6 @@ jobs:
       - name: Setup miniconda
         uses: conda-incubator/setup-miniconda@a4260408e20b96e80095f42ff7f1a15b27dd94ca # v3.0.4
         with:
-          miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
           channels: conda-forge
diff --git a/CHANGELOG.md b/CHANGELOG.md
index f7badbdd430..1c5ff2d0368 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -10,12 +10,14 @@ This is a bug-fix release.
 
 ### Changed
 
+* Changed to use `Miniforge` installer in GutHub actions [#2057](https://github.com/IntelPython/dpnp/pull/2057)
 * Updated `README.md` to reflect current installation requirements and available options [#2166](https://github.com/IntelPython/dpnp/pull/2166)
 * Corrected a list of owners and code maintainers [#2185](https://github.com/IntelPython/dpnp/pull/2185)
 
 ### Fixed
 
 * Resolved an issue with Compute Follows Data inconsistency in `dpnp.extract` function [#2172](https://github.com/IntelPython/dpnp/pull/2172)
+* Resolved a compilation error when building with DPC++ 2025.1 compiler [#2211](https://github.com/IntelPython/dpnp/pull/2211)
 
 
 ## [0.16.0] - 10/14/2024
diff --git a/dpnp/backend/kernels/dpnp_krnl_common.cpp b/dpnp/backend/kernels/dpnp_krnl_common.cpp
index b1d864327e6..453c9a88747 100644
--- a/dpnp/backend/kernels/dpnp_krnl_common.cpp
+++ b/dpnp/backend/kernels/dpnp_krnl_common.cpp
@@ -33,11 +33,23 @@
 #include "queue_sycl.hpp"
 #include <dpnp_iface.hpp>
 
+/**
+ * Version of SYCL DPC++ 2025.1 compiler where support of
+ * sycl::ext::oneapi::experimental::properties was added.
+ */
+#ifndef __SYCL_COMPILER_REDUCTION_PROPERTIES_SUPPORT
+#define __SYCL_COMPILER_REDUCTION_PROPERTIES_SUPPORT 20241129
+#endif
+
 namespace mkl_blas = oneapi::mkl::blas;
 namespace mkl_blas_cm = oneapi::mkl::blas::column_major;
 namespace mkl_blas_rm = oneapi::mkl::blas::row_major;
 namespace mkl_lapack = oneapi::mkl::lapack;
 
+#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_REDUCTION_PROPERTIES_SUPPORT
+namespace syclex = sycl::ext::oneapi::experimental;
+#endif
+
 template <typename _KernelNameSpecialization1,
           typename _KernelNameSpecialization2,
           typename _KernelNameSpecialization3>
@@ -76,8 +88,13 @@ sycl::event dot(sycl::queue &queue,
             cgh.parallel_for(
                 sycl::range<1>{size},
                 sycl::reduction(
-                    result_out, std::plus<_DataType_output>(),
-                    sycl::property::reduction::initialize_to_identity{}),
+                    result_out, sycl::plus<_DataType_output>(),
+#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_REDUCTION_PROPERTIES_SUPPORT
+                    syclex::properties(syclex::initialize_to_identity)
+#else
+                    sycl::property::reduction::initialize_to_identity {}
+#endif
+                        ),
                 [=](sycl::id<1> idx, auto &sum) {
                     sum += static_cast<_DataType_output>(
                                input1_in[idx * input1_strides]) *
diff --git a/tests/third_party/cupy/creation_tests/test_ranges.py b/tests/third_party/cupy/creation_tests/test_ranges.py
index 92c81061b7a..bd3a21539ae 100644
--- a/tests/third_party/cupy/creation_tests/test_ranges.py
+++ b/tests/third_party/cupy/creation_tests/test_ranges.py
@@ -172,7 +172,7 @@ def test_linspace_float_overflow(self, xp):
         dtype = cupy.default_float_type()
         return xp.linspace(0.0, xp.finfo(dtype).max / 5, 10, dtype=dtype)
 
-    @testing.numpy_cupy_allclose()
+    @testing.numpy_cupy_allclose(rtol={numpy.float32: 1e-6, "default": 1e-7})
     def test_linspace_float_underflow(self, xp):
         # find minimum subnormal number
         dtype = cupy.default_float_type()