diff --git a/stable/horovod/Chart.yaml b/stable/horovod/Chart.yaml
index d97b4fc5b1..93f11bfa26 100644
--- a/stable/horovod/Chart.yaml
+++ b/stable/horovod/Chart.yaml
@@ -1,7 +1,7 @@
 apiVersion: v1
 description: A Helm chart for deploying Horovod
 name: horovod
-version: 0.2.0
+version: 0.2.1
 appVersion: 0.12.1
 sources:
   - https://github.com/uber/horovod
diff --git a/stable/horovod/README.md b/stable/horovod/README.md
index 99fd493d92..9aa125bad5 100644
--- a/stable/horovod/README.md
+++ b/stable/horovod/README.md
@@ -4,7 +4,7 @@
 
 ## Introduction
 
-This chart bootstraps Horovod which is a Distributed TensorFlow Framework on a Kubernetes cluster using the Helm Package manager. It deploys Horovod workers as statefulsets, and the Horovod master as a job, then discover the the host list automatically.ß
+This chart bootstraps Horovod which is a Distributed TensorFlow Framework on a Kubernetes cluster using the Helm Package Manager. It deploys Horovod workers as statefulsets, and the Horovod master as a job, then discover the host list automatically.
 
 ## Prerequisites
 
@@ -64,7 +64,7 @@ master:
 EOF
 ```
 
-For most cases, the overlay network impacts the horovod performance greatly, so we should apply `Host Network` solution. To run Horovod with Host Network and GPU, you can create `values.yaml` like below
+For most cases, the overlay network impacts the Horovod performance greatly, so we should apply `Host Network` solution. To run Horovod with Host Network and GPU, you can create `values.yaml` like below
 
 
 ```