diff --git a/GPy/inference/latent_function_inference/inference_X.py b/GPy/inference/latent_function_inference/inference_X.py
index e3a3d251..14b9b521 100644
--- a/GPy/inference/latent_function_inference/inference_X.py
+++ b/GPy/inference/latent_function_inference/inference_X.py
@@ -57,7 +57,8 @@ class Inference_X(Model):
         if isinstance(model, SSGPLVM):
             X = variational.SpikeAndSlabPosterior(param_to_array(model.X.mean[idx]), param_to_array(model.X.variance[idx]), param_to_array(model.X.gamma[idx]))
             if model.group_spike:
-                [X.gamma[:,i].tie_together() for i in xrange(X.gamma.shape[1])] # Tie columns together
+                #[X.gamma[:,i].tie_together() for i in xrange(X.gamma.shape[1])] # Tie columns together
+                X.gamma.fix()
         else:
             X = variational.NormalPosterior(param_to_array(model.X.mean[idx]), param_to_array(model.X.variance[idx]))
         
diff --git a/GPy/kern/_src/rbf.py b/GPy/kern/_src/rbf.py
index 86807fae..20976d7c 100644
--- a/GPy/kern/_src/rbf.py
+++ b/GPy/kern/_src/rbf.py
@@ -30,7 +30,13 @@ class RBF(Stationary):
         if flag:
             if isinstance(self.psicomp,PSICOMP_RBF):
                 self.useGPU = True
-                self.psicomp = PSICOMP_RBF_GPU()
+
+                from ...models import SSGPLVM,SSMRD
+                if isinstance(self._highest_parent_, SSGPLVM) or isinstance(self._highest_parent_, SSGPLVM):
+                    from psi_comp.ssrbf_psi_gpucomp import PSICOMP_SSRBF_GPU
+                    self.psicomp = PSICOMP_SSRBF_GPU()
+                else:
+                    self.psicomp = PSICOMP_RBF_GPU()
         else:
             if isinstance(self.psicomp,PSICOMP_RBF_GPU):
                 self.psicomp = PSICOMP_RBF()