fix typo (#3343)

aws · May 26, 2022 · b704aaa · b704aaa
1 parent 0fedea3
commit b704aaa
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/training/distributed_training/index.rst b/training/distributed_training/index.rst
@@ -47,7 +47,7 @@ training as quickly as possible or at least within a constrained time period.
 Then, distributed training is scaled to use a cluster of multiple nodes, meaning
 not just multiple GPUs in a computing instance, but multiple instances with
 multiple GPUs. As the cluster size increases, so does the significant drop in
-performance. This drop in performance is primarily caused the communications
+performance. This drop in performance is primarily caused by the communications
 overhead between nodes in a cluster.
 
 SageMaker distributed (SMD) offers two options for distributed training: