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?
