What are some effective strategies for optimizing costs in cloud ML?
There are several strategies to optimize costs in cloud ML, such as using spot instances, optimizing data storage, and selecting the right instance types.
Can you explain how spot instances work?
Spot instances allow you to bid on unused cloud capacity at a lower price, which can significantly reduce costs for non-critical workloads.
What about data storage optimization?
For data storage optimization, consider using tiered storage solutions, archiving infrequently accessed data, and compressing datasets.
Are there any tools that can help with cost monitoring?
Yes, tools like AWS Cost Explorer, Google Cloud's Billing Reports, and Azure Cost Management can help you monitor and manage your cloud spending.
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