diff --git a/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a-CUDA-12.6.0.eb b/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a-CUDA-12.6.0.eb
new file mode 100644
index 00000000000..e64f8dffb33
--- /dev/null
+++ b/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a-CUDA-12.6.0.eb
@@ -0,0 +1,36 @@
+easyblock = 'PythonBundle'
+
+name = 'Zennit'
+version = '1.0.0'
+versionsuffix = '-CUDA-%(cudaver)s'
+
+homepage = 'https://zennit.readthedocs.io'
+description = """Zennit (Zennit explains neural networks in torch) is a high-level framework in
+Python using Pytorch for explaining/exploring neural networks. Its design
+philosophy is intended to provide high customizability and integration as a
+standardized solution for applying rule-based attribution methods in research,
+with a strong focus on Layerwise Relevance Propagation (LRP)."""
+
+toolchain = {'name': 'foss', 'version': '2024a'}
+
+builddependencies = [('hatchling', '1.24.2')]
+
+dependencies = [
+    ('CUDA', '12.6.0', '', SYSTEM),
+    ('Python', '3.12.3'),
+    ('PyTorch', '2.6.0', versionsuffix),
+    ('torchvision', '0.21.0', versionsuffix),
+    ('Pillow', '10.4.0'),
+]
+
+use_pip = True
+
+exts_list = [
+    ('zennit', version, {
+        'checksums': ['c6772100035172313d30986e5e65bc09327dc614fa8d2e9a155a465d3c83355d'],
+    }),
+]
+
+sanity_pip_check = True
+
+moduleclass = 'vis'
diff --git a/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a.eb b/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a.eb
new file mode 100644
index 00000000000..2c97e14dbc8
--- /dev/null
+++ b/easybuild/easyconfigs/z/Zennit/Zennit-1.0.0-foss-2024a.eb
@@ -0,0 +1,34 @@
+easyblock = 'PythonBundle'
+
+name = 'Zennit'
+version = '1.0.0'
+
+homepage = 'https://zennit.readthedocs.io'
+description = """Zennit (Zennit explains neural networks in torch) is a high-level framework in
+Python using Pytorch for explaining/exploring neural networks. Its design
+philosophy is intended to provide high customizability and integration as a
+standardized solution for applying rule-based attribution methods in research,
+with a strong focus on Layerwise Relevance Propagation (LRP)."""
+
+toolchain = {'name': 'foss', 'version': '2024a'}
+
+builddependencies = [('hatchling', '1.24.2')]
+
+dependencies = [
+    ('Python', '3.12.3'),
+    ('PyTorch', '2.6.0'),
+    ('torchvision', '0.21.0'),
+    ('Pillow', '10.4.0'),
+]
+
+use_pip = True
+
+exts_list = [
+    ('zennit', version, {
+        'checksums': ['c6772100035172313d30986e5e65bc09327dc614fa8d2e9a155a465d3c83355d'],
+    }),
+]
+
+sanity_pip_check = True
+
+moduleclass = 'vis'