Smart Tips to Cut Cluster Costs (Without Slowing Down!)

[Rishabh_Tiwari]

We all love fast clusters… but let’s be honest, we also love saving costs.  Here are some common go-to tips most of us already use:

• Auto-scaling Clusters – Dynamically adjust resources to match workload needs.
• Terminate Idle Clusters – Sounds obvious, but setting a smart auto-termination time often saves a lot.
• Use Job Clusters – Perfect for scheduled or non-interactive workloads instead of all-purpose ones.
• Keep Data & Compute in the Same Region – Cuts latency and cost at the same time.

These are the classics — but here’s the interesting part: 
What’s your “hidden gem” trick for cluster cost savings that even AI might not think of?

[Khaja_Zaffer]

hello @Rishabh_Tiwari 

Really great and refreshing tips 👏. One hidden gem I’ve found is right-sizing clusters — making sure you don’t spin up a massive configuration for a job that could easily run on a much smaller cluster. Over-provisioning is an easy trap to fall into, and right-sizing often saves more than people expect.