Change the picture of the plan to text format and updated the index d…

…oc. (#5466) Signed-off-by: Hao Zhu <hazhu@nvidia.com>
NVIDIA · May 12, 2022 · 8650a42 · 8650a42
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diff --git a/docs/get-started/getting-started-on-prem.md b/docs/get-started/getting-started-on-prem.md
@@ -410,7 +410,12 @@ replaced with GPU calls.
 
 The following is an example of a physical plan with operators running on the GPU: 
 
-![ease-of-use](../img/ease-of-use.png)
+```
+== Physical Plan ==
+GpuColumnarToRow false
++- GpuProject [cast(c_customer_sk#0 as string) AS c_customer_sk#40]
+   +- GpuFileGpuScan parquet [c_customer_sk#0] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/tmp/customer], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c_customer_sk:int>
+```
 
 
 ## Debugging

diff --git a/docs/img/ease-of-use.png b/docs/img/ease-of-use.png
diff --git a/docs/index.md b/docs/index.md
@@ -16,7 +16,9 @@ The RAPIDS Accelerator for Apache Spark combines the power of the <a href="https
 ## Performance & Cost Benefits
 Rapids Accelerator for Apache Spark reaps the benefit of GPU performance while saving infrastructure costs.
 ![Perf-cost](/docs/img/perf-cost.png)
-*ETL for FannieMae Mortgage Dataset (~200GB) as shown in our [demo](https://databricks.com/session_na20/deep-dive-into-gpu-support-in-apache-spark-3-x). Costs based on Cloud T4 GPU instance market price & V100 GPU price on Databricks Standard edition
+*ETL for FannieMae Mortgage Dataset (~200GB) as shown in our 
+[demo](https://databricks.com/session_na20/deep-dive-into-gpu-support-in-apache-spark-3-x). Costs 
+based on Cloud T4 GPU instance market price.
 
 
 ## Ease of Use
@@ -26,7 +28,12 @@ Run your existing Apache Spark applications with no code change.  Launch Spark w
 
 The following is an example of a physical plan with operators running on the GPU: 
 
-![ease-of-use](/docs/img/ease-of-use.png)
+```
+== Physical Plan ==
+GpuColumnarToRow false
++- GpuProject [cast(c_customer_sk#0 as string) AS c_customer_sk#40]
+   +- GpuFileGpuScan parquet [c_customer_sk#0] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/tmp/customer], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c_customer_sk:int>
+```
 
 Learn more on how to [get started](get-started/getting-started.md).