# Need Help with Scaling Up My Ray Cluster

**URL:** <https://discuss.ray.io/t/need-help-with-scaling-up-my-ray-cluster/15405>\
**Category:** Ray Clusters\
**Created:** [July 31, 2024, 12:09pm UTC](https://discuss.ray.io/t/need-help-with-scaling-up-my-ray-cluster/15405 "2024-07-31T12:09:40Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ussesjenny](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/ussesjenny/32/6369_2.png) [@ussesjenny](https://discuss.ray.io/u/ussesjenny)\
**Post date:** [July 31, 2024, 12:09pm UTC](https://discuss.ray.io/t/need-help-with-scaling-up-my-ray-cluster/15405/1 "2024-07-31T12:09:40Z")

</div>

Hi everyone,

I am relatively new to Ray and currently running a small Ray cluster for a machine learning project. It is been great so far but I am hitting some limitations as my data size grows. I am looking for advice on how to efficiently scale up my cluster.

Here are my questions:

1. What are the best practices for adding more nodes?
2. How can I ensure load balancing across the cluster?
3. Are there specific configurations or tools within Ray that can help optimize performance?

I have already read on this site [https://www.anyscale.com/blog/autoscaling-clusters-with-ray-](https://www.anyscale.com/blog/autoscaling-clusters-with-ray)[msbi-tutorial/](https://www.igmguru.com/blog/msbi-tutorial/) but i could not found anything.  
Any tips resources or personal experiences would be greatly appreciated. Thanks in advance for your help.

Best,  
[Jenny]