diff --git a/GPy/testing/test_mpi.py b/GPy/testing/test_mpi.py
deleted file mode 100644
index 6bca1e95..00000000
--- a/GPy/testing/test_mpi.py
+++ /dev/null
@@ -1,83 +0,0 @@
-# Copyright (c) 2013-2014, Zhenwen Dai
-# Licensed under the BSD 3-clause license (see LICENSE.txt)
-
-import numpy as np
-
-try:
-    import subprocess
-
-    class TestMPI:
-        def test_BayesianGPLVM_MPI(self):
-            code = """
-import numpy as np
-import GPy
-from mpi4py import MPI
-np.random.seed(123456)
-comm = MPI.COMM_WORLD
-N = 100
-x = np.linspace(-6., 6., N)
-y = np.sin(x) + np.random.randn(N) * 0.05
-comm.Bcast(y)
-data = np.vstack([x,y])
-infr = GPy.inference.latent_function_inference.VarDTC_minibatch(mpi_comm=comm)
-m = GPy.models.BayesianGPLVM(data.T,1,mpi_comm=comm)
-m.optimize(max_iters=10)
-if comm.rank==0:
-    print float(m.objective_function())
-    m.inference_method.mpi_comm=None
-    m.mpi_comm=None
-    m._trigger_params_changed()
-    print float(m.objective_function())
-            """
-            with open("mpi_test__.py", "w") as f:
-                f.write(code)
-                f.close()
-            p = subprocess.Popen(
-                "mpirun -n 4 python mpi_test__.py", stdout=subprocess.PIPE, shell=True
-            )
-            (stdout, _stderr) = p.communicate()
-            L1 = float(stdout.splitlines()[-2])
-            L2 = float(stdout.splitlines()[-1])
-            self.assertTrue(np.allclose(L1, L2))
-            import os
-
-            os.remove("mpi_test__.py")
-
-        def test_SparseGPRegression_MPI(self):
-            code = """
-import numpy as np
-import GPy
-from mpi4py import MPI
-np.random.seed(123456)
-comm = MPI.COMM_WORLD
-N = 100
-x = np.linspace(-6., 6., N)
-y = np.sin(x) + np.random.randn(N) * 0.05
-comm.Bcast(y)
-data = np.vstack([x,y])
-#infr = GPy.inference.latent_function_inference.VarDTC_minibatch(mpi_comm=comm)
-m = GPy.models.SparseGPRegression(data[:1].T,data[1:2].T,mpi_comm=comm)
-m.optimize(max_iters=10)
-if comm.rank==0:
-    print float(m.objective_function())
-    m.inference_method.mpi_comm=None
-    m.mpi_comm=None
-    m._trigger_params_changed()
-    print float(m.objective_function())
-            """
-            with open("mpi_test__.py", "w") as f:
-                f.write(code)
-                f.close()
-            p = subprocess.Popen(
-                "mpirun -n 4 python mpi_test__.py", stdout=subprocess.PIPE, shell=True
-            )
-            (stdout, stderr) = p.communicate()
-            L1 = float(stdout.splitlines()[-2])
-            L2 = float(stdout.splitlines()[-1])
-            assert np.allclose(L1, L2)
-            import os
-
-            os.remove("mpi_test__.py")
-
-except:
-    pass