diff --git a/examples/cifar10/train_cifar10.py b/examples/cifar10/train_cifar10.py
index 921aac8..24f88e7 100644
--- a/examples/cifar10/train_cifar10.py
+++ b/examples/cifar10/train_cifar10.py
@@ -105,6 +105,9 @@ def train(argv):
     optim = torch.optim.Adam(net_model.parameters(), lr=FLAGS.lr)
     sched = torch.optim.lr_scheduler.LambdaLR(optim, lr_lambda=warmup_lr)
     if FLAGS.parallel:
+        print(
+            "Warning: parallel training is performing slighlty worse than single GPU training due to statistics computation in dataparallel. We recommend to train over a single GPU, which requires around 8 Gb of GPU memory."
+        )
         net_model = torch.nn.DataParallel(net_model)
         ema_model = torch.nn.DataParallel(ema_model)