Optimizing Server Performance for AI and Small Machine Learning Applications

[misa99]

Hi everyone,

I am trying to deploy some small machine learning applications on the company server, but I am having performance issues: RAM fills up quickly, CPU is sometimes overloaded, and data retrieval is slow.

Some solutions I have tried:

Reduce batch size during training.

Use temporary swap files to avoid crashes.

Optimize the cache on the database.

Question for the community:

Can anyone with experience in optimizing servers for AI/light ML workloads share tips or reasonable configurations?

Is there any monitoring software or resource optimization tools that can help speed up without upgrading hardware?

I would like to discuss finding a way to balance performance and cost. Looking forward to receiving sharing from those with experience.
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