diff --git a/.github/workflows/artifact.yaml b/.github/workflows/artifact.yaml
index 47710583..3a839ed1 100644
--- a/.github/workflows/artifact.yaml
+++ b/.github/workflows/artifact.yaml
@@ -115,6 +115,11 @@ jobs:
     - run: ./integration/run http
     - run: ./integration/run init
 
+    - run: |
+        uv pip install -U --pre "numpy>=2.0.0rc1"
+        pytest -s test/test_numpy.py
+      if: matrix.pyton.version != '3.8'
+
     - name: Store wheels
       if: "startsWith(github.ref, 'refs/tags/')"
       uses: actions/upload-artifact@v4
diff --git a/README.md b/README.md
index 4b272676..b17fc7c6 100644
--- a/README.md
+++ b/README.md
@@ -819,6 +819,8 @@ orjson natively serializes `numpy.ndarray` and individual
 `numpy.uintp`, `numpy.intp`, `numpy.datetime64`, and `numpy.bool`
 instances.
 
+orjson is compatible with both numpy v1 and v2.
+
 orjson is faster than all compared libraries at serializing
 numpy instances. Serializing numpy data requires specifying
 `option=orjson.OPT_SERIALIZE_NUMPY`.
diff --git a/test/test_numpy.py b/test/test_numpy.py
index 28eacd5a..dd506a21 100644
--- a/test/test_numpy.py
+++ b/test/test_numpy.py
@@ -155,10 +155,10 @@ def test_numpy_array_f16_edge(self):
                 numpy.array(
                     [
                         numpy.inf,
-                        numpy.NINF,
+                        -numpy.inf,
                         numpy.nan,
-                        numpy.NZERO,
-                        numpy.PZERO,
+                        -0.0,
+                        0.0,
                         numpy.pi,
                     ],
                     numpy.float16,
@@ -174,10 +174,10 @@ def test_numpy_array_f32_edge(self):
                 numpy.array(
                     [
                         numpy.inf,
-                        numpy.NINF,
+                        -numpy.inf,
                         numpy.nan,
-                        numpy.NZERO,
-                        numpy.PZERO,
+                        -0.0,
+                        0.0,
                         numpy.pi,
                     ],
                     numpy.float32,
@@ -193,10 +193,10 @@ def test_numpy_array_f64_edge(self):
                 numpy.array(
                     [
                         numpy.inf,
-                        numpy.NINF,
+                        -numpy.inf,
                         numpy.nan,
-                        numpy.NZERO,
-                        numpy.PZERO,
+                        -0.0,
+                        0.0,
                         numpy.pi,
                     ],
                     numpy.float64,