Latest Blog
How Does Database Placement Affect Jellyfin Reliability?
Explain why Jellyfin app data and bulk media have different storage behavior and how placement changes reliability.
Can One Home GPU Serve Speech, Vision, and LLM Workloads at the Same Time?
A single GPU can serve mixed home AI tasks, but simultaneous residency, memory peaks, priority, and latency targets decide whether it feels reliable.
Can a Local AI Model Produce Reliable Structured JSON Without Cloud Validation?
Cloud validation is optional; local grammar constraints, JSON Schema checks, semantic rules, and retry limits can form a reliable output boundary.
Can a CPU-Only Home Server Run Useful RAG for a Family Document Library?
CPU-only RAG is practical for occasional, citation-led family questions, but long prompts, large models, and simultaneous users expose its limits.
How Does Backup Chunk Size Affect Restore Speed and Deduplication Savings?
Chunk size changes duplicate detection granularity, index overhead, fragmentation, and the number of reads needed to rebuild a backup.
What Is the Relationship Between Data Retention and Smart Home Model Drift?
Historical sensor data helps a smart-home model separate lasting behavior changes from noise, but stale history can also delay adaptation.
Jellyfin State Explained: What Must Survive a Rebuild, and What Can Be Recreated?
Decode Jellyfin state by persistence role so a rebuild protects irreplaceable identity and catalog data without over-backing up temporary files.
How Jellyfin Authentication Differs Between Local and Remote Sessions
Separate Jellyfin identity and authorization from the local or remote network path that carries each session.
