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Practical Linux playbook for securing AI inference hosts: explains how AI workloads shift the threat model (supply chain, long-lived endpoints, wide I/O, GPU/device exposure, sensitive data), then delivers five copy/paste hardening steps: minimal patched base and SSH hardening; single TLS reverse proxy + firewall + rate limits; rootless Podman with least privilege; encrypted models/secrets; auditd + fail2ban, plus a minimal reference stack and ops tips.