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2 changes: 0 additions & 2 deletions docs/running-on-kubernetes.md
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Expand Up @@ -1845,8 +1845,6 @@ Spark allows users to specify a custom Kubernetes schedulers.

#### Using Volcano as Customized Scheduler for Spark on Kubernetes

**This feature is currently experimental. In future versions, there may be behavioral changes around configuration, feature step improvement.**

##### Prerequisites
* Spark on Kubernetes with [Volcano](https://volcano.sh/en) as a custom scheduler is supported since Spark v3.3.0 and Volcano v1.7.0. Below is an example to install Volcano 1.7.0:

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2 changes: 0 additions & 2 deletions resource-managers/kubernetes/integration-tests/README.md
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Expand Up @@ -331,8 +331,6 @@ You can also specify your specific dockerfile to build JVM/Python/R based image

# Running the Volcano Integration Tests

Volcano integration is experimental in Aapche Spark 3.3.0 and the test coverage is limited.

## Requirements
- A minimum of 6 CPUs and 9G of memory is required to complete all Volcano test cases.
- Volcano v1.7.0.
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