Jellyfin on Raspberry Pi 5 in 2026: What It Can (and Cannot) Do - Complete Setup Guide

Running Jellyfin on a Raspberry Pi 5

What You Need

• Raspberry Pi 5 (4/8 GB)
• MicroSD 32GB+ or NVMe SSD
• USB hard drive for media
• Official 27W USB-C PSU
• Ethernet cable
• Active cooler

Step 1: Install OS

Flash Raspberry Pi OS Lite (64-bit) with Pi Imager. Enable SSH.

Step 2: Configure

ssh pi@jellyfin.local
sudo apt update && sudo apt upgrade -y

Step 3: Mount Media Drive

sudo mkdir -p /media/storage
echo "/dev/sda1 /media/storage ext4 defaults,nofail 0 0" | sudo tee -a /etc/fstab
sudo mount -a

Step 4: Install Jellyfin

curl -fsSL https://repo.jellyfin.org/install-debuntu.sh | sudo bash
sudo systemctl enable --now jellyfin

Access: http://192.168.1.100:8096

Performance Tips

• Direct Play only - Pi 5 has no HW transcoding
• Use NVMe HAT for faster scanning
• Set gpu_mem=16 in config.txt
• Use H.264 MP4 for max compatibility

Limitations

• No hardware transcoding
• 2-3 direct play streams max
• USB 3.0 bandwidth limit

Monitor your Pi server with JellyWatch - track CPU usage, storage space, and active streams without touching the Pi.

Running Jellyfin on a Pi? Keep an eye on it remotely. Download JellyWatch on Google Play - server health and session monitoring on your Android phone.

A $100 media server in your palm.

Pi 5 vs Intel N100: When Should You Upgrade?

The Raspberry Pi 5 is a fantastic entry point, but the Intel N100 mini PC has become the go-to upgrade path. Here is an honest comparison to help you decide.

Head-to-Head Comparison

When to Stay on Pi 5

• You have 1-3 users who all Direct Play (compatible clients)
• Your library is already encoded in H.264/H.265 with AAC audio
• You want the lowest power bill possible
• You enjoy the Pi ecosystem (GPIO, Pi-hole on the same device, etc.)
• Budget is under $100

When to Upgrade to N100

• You have 4+ users or users on varied devices (browsers, phones, old TVs)
• You need hardware transcoding (users cannot always Direct Play)
• You want HDR tone-mapping for 4K content on SDR displays
• You plan to run the full *arr stack (Radarr, Sonarr, Bazarr) alongside Jellyfin
• You want native NVMe storage without adapters

The Verdict

The Pi 5 is perfect for a personal or small family server where everyone uses compatible clients (Jellyfin Media Player, Findroid, Swiftfin). The moment you share your server with friends or have users on web browsers and Samsung TVs, the N100 pays for itself in transcoding capability alone.

Docker vs Native Installation on Raspberry Pi 5

Both methods work on the Pi 5, but they have different trade-offs.

Native Installation (APT)

curl -fsSL https://repo.jellyfin.org/install-debuntu.sh | sudo bash
sudo systemctl enable --now jellyfin

Pros:

• Slightly lower RAM overhead (~50-100 MB less)
• Simpler for single-service setups
• Direct access to hardware without device mapping
• Easier to troubleshoot for Linux beginners

Cons:

• Updates require manual apt commands
• Harder to backup (scattered config files)
• Conflicts possible with other services
• Rollback is difficult if an update breaks things

Docker Installation

services:
  jellyfin:
    image: jellyfin/jellyfin:latest
    container_name: jellyfin
    volumes:
      - ./config:/config
      - ./cache:/cache
      - /media/storage:/media:ro
    ports:
      - 8096:8096
    restart: unless-stopped

sudo apt install docker.io docker-compose-plugin -y
docker compose up -d

Pros:

• One-command updates: docker compose pull && docker compose up -d
• Easy backup: just tar the ./config folder
• Instant rollback: pin a previous image tag
• Run multiple services cleanly (Jellyfin + Radarr + Sonarr + Bazarr)
• Consistent behavior across Pi OS versions

Cons:

• ~200 MB additional RAM overhead for Docker daemon
• Slightly more complex initial setup
• Device passthrough requires explicit mapping

Recommendation for Pi 5

Use Docker if you plan to run any companion services (Radarr, Sonarr, Jellyseerr, Bazarr). The isolation and easy updates are worth the small RAM overhead on an 8 GB Pi 5.

Use native only if Jellyfin is the sole service on the Pi and you want maximum RAM available for library scanning.

Performance Tips for Both Methods

1. Use an NVMe SSD via the Pi 5 M.2 HAT for the config/cache - microSD is too slow for metadata scanning
2. Set gpu_mem=16 in /boot/firmware/config.txt - Jellyfin does not use the Pi GPU, so free that RAM
3. Disable swap on microSD if using NVMe - swap on SD cards kills them
4. Use an active cooler - sustained library scans will thermal throttle without cooling
5. Mount media via USB 3.0 or NFS from a NAS - avoid storing media on the boot drive

Running Jellyfin on a Pi 5? Monitor CPU thermals and stream count remotely. Download JellyWatch on Google Play - see active sessions, CPU load, and storage space on your Android phone without SSHing into the Pi.