diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 229ed788d4..41f40a14ab 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -239,9 +239,13 @@ jobs:
       run: PYTHONPATH="." METAL=1 python3 test/external/external_test_speed_llama.py
     #- name: Run dtype test
     #  run: DEBUG=4 METAL=1 python -m pytest test/test_dtype.py
+    # dtype test has issues on test_half_to_int8
     - name: Run ops test
       run: DEBUG=2 METAL=1 python -m pytest test/test_ops.py
-    # dtype test has issues on test_half_to_int8
+    - name: Run JIT test
+      run: DEBUG=2 METAL=1 python -m pytest test/test_jit.py
+    # TODO: why not testing the whole test/?
+
 
   testdocker:
     name: Docker Test
diff --git a/test/test_jit.py b/test/test_jit.py
index 3a9e1f04d4..1221c4860a 100644
--- a/test/test_jit.py
+++ b/test/test_jit.py
@@ -2,9 +2,10 @@
 import unittest
 import numpy as np
 from tinygrad.tensor import Tensor, Device
-from tinygrad.jit import TinyJit
+from tinygrad.jit import TinyJit, JIT_SUPPORTED_DEVICE
 
-@unittest.skipUnless(Device.DEFAULT == "GPU", "JIT is only for GPU")
+# NOTE: METAL fails, might be platform and optimization options dependent.
+@unittest.skipUnless(Device.DEFAULT in JIT_SUPPORTED_DEVICE and Device.DEFAULT not in ["METAL", "WEBGPU"], f"no JIT on {Device.DEFAULT}")
 class TestJit(unittest.TestCase):
   def test_simple_jit(self):
     @TinyJit
diff --git a/tinygrad/jit.py b/tinygrad/jit.py
index cc139efde5..e9da4a8f8a 100644
--- a/tinygrad/jit.py
+++ b/tinygrad/jit.py
@@ -6,6 +6,8 @@ from tinygrad.lazy import Device
 from tinygrad.tensor import Tensor
 from tinygrad.ops import GlobalCounters, RawBuffer
 
+JIT_SUPPORTED_DEVICE = ["GPU", "CLANG", "METAL", "CUDA", "HIP", "WEBGPU"]
+
 class TinyJit:
   def __init__(self, fxn:Callable):
     self.fxn: Callable = fxn
@@ -18,7 +20,7 @@ class TinyJit:
   def __get__(self, obj, objtype): return functools.partial(self.__call__, obj)
 
   def __call__(self, *args, **kwargs) -> Any:
-    if Device.DEFAULT not in ["GPU", "CLANG", "METAL", "CUDA", "HIP", "WEBGPU"]: return self.fxn(*args, **kwargs)  # only jit on the GPU codegen
+    if Device.DEFAULT not in JIT_SUPPORTED_DEVICE: return self.fxn(*args, **kwargs)  # only jit on supported device
     # NOTE: this cast is needed since although we know realize will create a ".realized" DeviceBuffer, the type checker doesn't
     input_rawbuffers: Dict[Union[int, str], RawBuffer] = {cast(Union[int, str], k):cast(RawBuffer, v.realize().lazydata.realized) for k,v in itertools.chain(enumerate(args), kwargs.items()) if isinstance(v, Tensor)}
     assert len(input_rawbuffers) != 0, "no inputs to JIT"