If you run LLMs on your own Linux machine, you’ve probably seen it:
one heavy inference job starts,
desktop/SSH gets laggy,
and suddenly everything feels stuck.
The fix is not "buy bigger hardware" as your first move.
A practical, copy-paste guide to keep local AI workloads responsive using systemd slices, cgroup v2 limits, and pressure-aware monitoring.
If you run LLMs on your own Linux machine, you’ve probably seen it:
one heavy inference job starts,
desktop/SSH gets laggy,
and suddenly everything feels stuck.
The fix is not "buy bigger hardware" as your first move.

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