Latest Blog
Jellyfin With Local Storage vs Network Storage: Which Is More Reliable?
Local storage minimizes dependencies; network storage improves separation and scale. A hybrid with local app state and remote media often fits best.
Low-Power Server vs Faster PC for Always-On Jellyfin: Which Fits Better?
A low-power server wins once it meets the real Jellyfin workload; a faster PC wins when required heavy jobs exceed that threshold.
Docker vs Virtual Machine for Jellyfin: Which Deployment Route Fits?
Choose Docker for a lean Linux media service; choose a VM for stronger OS isolation or guest control. Docker inside a VM can be the practical third route.
GLM 5.3 vs Kimi K3: Which Runs Better Locally?
GLM-5.3-Flash and Kimi K3 are both frontier-scale Mixture-of-Experts models, but their local deployment requirements are very different. This comparison breaks down total and activated parameters, checkpoint size, RAM and GPU demands, storage, hybrid inference, and home-lab...
8GB vs 16GB vs 32GB RAM for Jellyfin: Which Tier Fits Your Workload?
8GB fits many dedicated Jellyfin servers; 16GB helps shared app hosts, while 32GB is justified mainly by heavier co-hosted workloads or virtualization.
Does Dedicated Hardware Acceleration Give Jellyfin a Meaningful Advantage?
Hardware acceleration matters when video conversion is frequent, but adds little to Direct Play and still depends on codecs, drivers, and configuration.
SSD vs HDD Metadata Storage for Jellyfin: What Changes in Daily Use?
SSD usually wins for active Jellyfin metadata and databases; HDD remains better for bulk media, while portable sidecars can follow recovery needs.
Self-Hosting Jellyfin vs Using a Managed Service: Which Costs Less to Own?
Self-hosting shifts cost into hardware, power, and time; managed Jellyfin shifts it into recurring rent and provider limits.
