diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py
index 376fb8a..f2c62da 100644
--- a/bitsandbytes/autograd/_functions.py
+++ b/bitsandbytes/autograd/_functions.py
@@ -270,7 +270,8 @@ class MatMul8bitLt(torch.autograd.Function):
 
     @staticmethod
     def forward(ctx, A, B, out=None, bias=None, state=MatmulLtState):
-        using_igemmlt = torch.cuda.get_device_capability(device=A.device) >= (7, 5) and not state.force_no_igemmlt
+        # Also disable igemmlt for AMD
+        using_igemmlt = "AMD" not in torch.cuda.get_device_name() and torch.cuda.get_device_capability(device=A.device) >= (7, 5) and not state.force_no_igemmlt
         # default of pytorch behavior if inputs are empty
         ctx.is_empty = False
         if prod(A.shape) == 0: