gpu computing

AI is fast becoming a core Linux workload; if you can ship containers, schedule jobs, and read system metrics, you’re 80% there. This guide delivers the final 20%: serve and troubleshoot models with Docker/Podman, automate benchmarks with Bash + systemd, version data/models via Git LFS and DVC, triage CPU/I/O/GPU with sysstat and vendor tools, and follow a 7‑day plan to be production‑ready.