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Choose a Raspberry Pi service stack in two passes: first match every service’s documented requirements to the board and RAM you actually have, then plan storage for the operating system, application data, logs, databases, backups and media. A Raspberry Pi 4 or 5 with at least 2 GB RAM is the documented starting point for Home Assistant; Pi-hole lists a 512 MB RAM prerequisite; and Jellyfin warns that Raspberry Pi-class boards can struggle when hardware-accelerated transcoding is needed.
Those figures describe individual services, not a guaranteed multi-service capacity. Your model, memory, storage medium, write rate, media workload and data growth determine whether a combined installation remains reliable.
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Identify the exact board and memory before selecting software. Raspberry Pi documentation lists Pi 5 versions with 2 GB, 4 GB, 8 GB or 16 GB RAM. A board’s name alone is not enough: two Pi 5 units can have very different memory headroom, and older models have different boot and expansion capabilities.
Home Assistant’s stated hardware floor
Home Assistant’s Raspberry Pi installation guidance specifies a Raspberry Pi 4 or Raspberry Pi 5, a suitable power supply and at least 2 GB of RAM. It also calls for Ethernet during installation. Wired Ethernet is described as more reliable after setup, particularly for a system expected to remain available for automations.
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Pi-hole’s small stated baseline
Pi-hole lists 512 MB of RAM in its prerequisites and notes that the software is not limited to Raspberry Pi hardware. That is a prerequisite for Pi-hole itself, not a recommendation for the total RAM of a host running several containers, a database, monitoring and other services.
Jellyfin is workload-sensitive
Jellyfin’s hardware-selection guidance cautions that most single-board computers, including Raspberry Pi models and especially Raspberry Pi 5, may be too slow for an acceptable experience because they often lack proper hardware-acceleration support. A Pi that is fine for direct playback can still be a poor choice for multiple simultaneous transcodes.
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Raspberry Pi boards do not have built-in mass storage. Depending on the model, you may be able to boot or store data on a microSD card, USB drive, HAT-connected storage or network storage. Newer boards support more combinations than older ones, so verify boot support for the exact model rather than assuming that every Pi can start from every medium.
| Service or workload | Documented figure or condition | What the figure does not establish |
|---|---|---|
| Home Assistant | Raspberry Pi 4 or 5; at least 2 GB RAM; A2 microSD card of at least 32 GB recommended | How many other services, integrations or database writes the same Pi can sustain |
| Pi-hole | 512 MB RAM prerequisite; hardware is not restricted to Raspberry Pi | Total host memory for a mixed stack or high-volume DNS logging |
| Jellyfin | 100 GB SSD recommendation for the operating system, Jellyfin files and transcoding cache in its cited setup; SBC performance warning | A universal storage minimum, user count, or reliable transcoding capacity on a Pi |
| Raspberry Pi OS | At least 16 GB for Raspberry Pi OS Lite or 32 GB for Raspberry Pi OS | Space for application data, media libraries, snapshots or backups |
How much RAM does a self-hosted service need?
Use published minimums as admission requirements, not as a capacity calculator. A 512 MB Pi-hole prerequisite does not mean a 1 GB board has 512 MB free for everything else. The operating system, container runtime, filesystem cache, DNS history, databases, dashboards and bursts of activity all consume memory.
Read a requirement in context
- Minimum: The service may refuse to install or operate below this amount. It is rarely a comfortable target for a busy host.
- Recommended: A project’s preferred configuration may assume a particular installation method and workload. Check whether it refers to a dedicated appliance or a container.
- Unstated: Do not fill the gap with a guessed benchmark. Monitor the real workload and leave headroom for updates and spikes.
Budget memory for the whole host
On a single-board computer, reserve memory for the base operating system and the management layer before adding services. Containers share the kernel but still need memory for their processes and caches. Home Assistant’s 2 GB requirement is therefore a lower bound for the Pi 4 or Pi 5 installation described by its documentation, not a promise that 2 GB will comfortably host Home Assistant, Pi-hole, a database, an observability stack and media software together.
Why memory pressure is difficult to diagnose
A service can appear healthy while the kernel reclaims cache or terminates a process during a burst. Check memory usage, swap activity and restart events over several days that include backups, updates and your busiest automation or playback period. If the board repeatedly reaches the limit, reduce services, move a workload to another machine or use a Pi with more RAM; changing storage alone will not create memory headroom.
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Can my Raspberry Pi run Home Assistant?
It can when it meets the documented hardware and network prerequisites: a Raspberry Pi 4 or 5, at least 2 GB RAM, an appropriate power supply, an A2 microSD card of at least 32 GB for the recommended installation, and Ethernet for installation. Home Assistant recommends Home Assistant OS for most users because it supplies a managed appliance-style environment.
Home Assistant OS or a container
Choose Home Assistant OS when the Pi is primarily an automation appliance and you want the project’s managed operating model. Home Assistant also documents a container installation for people who want to run it alongside other services under their own operating system and container tooling. The container route gives you control over the host and neighboring workloads, but you become responsible for the host OS, updates, networking, volumes and recovery.
Installation sequence
- Confirm that the board is a Pi 4 or Pi 5 and that it has at least 2 GB RAM.
- Provide the power supply specified for the board and connect Ethernet.
- Prepare an A2 microSD card with at least 32 GB for the Home Assistant OS image, or prepare the host operating system if you have selected the container method.
- Boot the Pi and complete the initial network and account setup.
- Before adding integrations or neighboring services, create a backup and verify that you can restore it.
When a Pi is a poor Home Assistant fit
If your available board is older than the documented Pi 4/Pi 5 target, has less than 2 GB RAM, or must also handle heavy media processing, it may be wiser to dedicate the Pi to a lighter role or use another host. Home Assistant’s hardware FAQ describes a Raspberry Pi, mini PC, NUC or virtual machine as suitable when you already own appropriate hardware or want to run Home Assistant alongside other services. Home Assistant Green is presented by that FAQ as the recommended plug-and-play option for most people; it is relevant when you want a managed appliance rather than a project built around an existing Pi.
Can I run multiple services on one Raspberry Pi?
Yes, but no official source here supplies a reliable number of services, users or containers for a particular Pi model. Treat a mixed stack as a workload-design problem rather than adding services until the board feels full.
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- Memory and CPU: Record the service’s stated minimum and whether it performs bursts such as indexing, compiling or image processing.
- Persistent storage: Separate the application’s files, database, logs, cache and backups. A service that runs from a small image may still grow rapidly after months of history.
- Media processing: Mark workloads that decode, encode, resize or analyze media. These can dominate CPU use even when idle services are light.
- Model and operating system compatibility: Confirm architecture, kernel, boot medium and any required device access for the exact Pi.
- Operating model: Decide whether one service deserves a dedicated managed OS or whether several should share a container host.
- Recovery and growth: Define backups, retention and an expansion path before the data volume becomes the constraint.
Practical combinations
Home Assistant and Pi-hole are conceptually compatible on a Pi when the board satisfies Home Assistant’s requirements and the host has enough remaining memory. Their published figures still do not predict performance for your integrations, DNS query volume or other containers. Add monitoring or a database only after measuring the first services under normal and peak activity.
Adding Jellyfin changes the decision because media playback and transcoding can consume substantially more CPU and storage than automation or DNS. A Pi used for direct-play streaming may remain responsive while a request that requires transcoding causes delays or failed playback. Keep that distinction explicit when deciding whether the services belong on the same board.
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Isolation and failure planning
Separate data directories or volumes, limit log retention, and document which service depends on which network port or device. A shared host has a shared failure domain: a full filesystem, bad update or power interruption can affect every service. Test restoring each important service, not merely creating an archive.
Should I use a microSD card or an SSD?
Storage is a separate design axis from RAM and CPU. Raspberry Pi documentation identifies microSD as the common option and also describes USB drives, HAT-connected storage and network storage where the model supports them. Faster read and write speeds improve responsiveness, but capacity, endurance and recoverability matter just as much for a server.
When a microSD card is appropriate
For a basic operating-system installation, follow the relevant minimum: Raspberry Pi OS documentation specifies at least 16 GB for Raspberry Pi OS Lite and 32 GB for Raspberry Pi OS, while Home Assistant recommends an A2 microSD card of at least 32 GB. The A2 designation is the concrete performance class Home Assistant names for its Pi installation.
A microSD card is convenient and inexpensive, but it is exposed to wear from databases, logs, downloaded metadata and frequent state changes. Keep logs and retention policies under control, maintain tested backups, and avoid treating one card as the only copy of irreplaceable data.
When to add a USB SSD
Consider a USB SSD with a compatible enclosure when service data is growing, writes are frequent, or you need a larger and more resilient working volume. Confirm that the exact Pi model can boot from or reliably mount the chosen USB device, and account for power delivery and cabling. You can keep the boot medium on microSD and place application data on the SSD, or use supported USB boot; the right arrangement depends on the model and operating system.
When network storage makes sense
Network storage can hold media or backups while the Pi runs the service, reducing local capacity pressure. It introduces dependence on the network and the storage server, so automation and DNS services should not be designed around an unavailable share unless they have a local fallback. Verify mount ordering and permissions after a reboot.
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How much capacity should you plan?
| Data category | Planning question | Common risk if ignored |
|---|---|---|
| Operating system | Does the medium meet the Pi OS or Home Assistant minimum? | Installation failure or an uncomfortably full root filesystem |
| Application state | How fast do databases, snapshots and history grow? | Unexpected exhaustion that stops every service on the host |
| Logs and cache | Are retention and rotation configured? | Write amplification and gradual loss of free space |
| Media | Will files live locally, on USB storage or on the network? | Playback failures or a storage upgrade made under pressure |
| Backups | Where will independent copies reside? | A disk failure destroys both the service and its only backup |
Jellyfin’s cited hardware guidance recommends a 100 GB SSD for the operating system, Jellyfin files and transcoding cache in the setup it describes. Treat that as a figure tied to those stated contents, not as a universal Jellyfin minimum or a complete media-library capacity.
Can a Raspberry Pi run Jellyfin?
It can serve some Jellyfin workloads, but the deciding question is whether clients can direct-play your media or the server must transcode it. Direct play sends a compatible file with little server-side processing. Transcoding requires decoding and encoding, and the official hardware-selection guidance warns that most SBCs, including Raspberry Pi models and particularly Pi 5, may lack the acceleration support or performance needed for an acceptable experience.
Check your playback pattern
- Mostly direct play: A Pi may be reasonable if clients support your codecs, containers, subtitles and network conditions.
- Occasional transcoding: Treat every required conversion as a test case rather than assuming the board will handle it.
- Several simultaneous transcodes: The cited guidance’s SBC warning is especially relevant; choose a platform with documented acceleration and sufficient CPU/GPU support instead of relying on a Pi-class board.
Storage and cache requirements
Plan space for the operating system, Jellyfin’s own files and its transcoding cache. The 100 GB SSD figure in Jellyfin’s guidance applies to those elements in its described setup; your media library, metadata retention and backups require additional capacity. Put high-write cache and metadata on storage suited to that workload when the Pi model and operating system support it.
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A step-by-step method for choosing your stack
- Inventory the board. Write down the exact Pi model, RAM amount, power supply, Ethernet availability and supported boot/storage options.
- List services by workload. Classify each as light background work, database-heavy, write-intensive, media-processing or externally dependent.
- Capture official requirements. Record minimum RAM, supported operating systems, architecture, storage guidance and any hardware-acceleration notes. Keep each figure attached to its service and context.
- Select the operating model. Use Home Assistant OS when the Pi is primarily a managed Home Assistant appliance; use a container host when you accept responsibility for the host and want multiple services together.
- Design storage before installation. Choose microSD, USB SSD, HAT storage or a network share according to write behavior and growth, not merely the initial image size.
- Set retention and backups. Decide how long to keep history, logs and media metadata, and store backups on an independent device or location.
- Deploy one service at a time. Measure idle and peak memory, CPU, temperature, storage latency and network behavior after each addition.
- Exercise failure recovery. Reboot, disconnect a network share where safe, restore a backup and confirm that services return in the expected order.
Pitfalls that make a “good enough” Pi fail
Confusing a service minimum with a stack recommendation
Pi-hole’s 512 MB figure and Home Assistant’s 2 GB figure apply to their respective documented prerequisites. Neither tells you how much RAM a mixed installation needs. Keep service requirements separate, then validate the combined workload.
Buying storage by image size
An operating-system image can fit on a small card while years of history, logs, cache and backups do not. Calculate growth and keep free space for updates and filesystem operation.
Assuming every Pi supports every boot medium
USB, HAT and network storage support varies by model and firmware. Check the board-specific documentation and test a cold boot, not just a warm reboot.
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Ignoring write behavior
Frequent database commits, verbose logs and transcoding cache can wear a small card and fill it unexpectedly. Move suitable data to an SSD, reduce retention and monitor free space.
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Test the actual files and client devices. If compatibility depends on several simultaneous conversions, the official SBC warning is a reason to select different hardware rather than hoping for a software tweak.
Skipping restore tests
A backup that has never been restored is an assumption. Perform a documented restore of Home Assistant data and each critical container volume while the original system is still available.
How to decide when your Pi is no longer the right host
Move a service or replace the host when monitoring shows sustained memory pressure, repeated out-of-memory restarts, storage exhaustion, unacceptable response times or failed media conversions. The trigger should be the observed workload and recovery requirements, not a universal service count—official material does not establish one.
A practical split is to keep low-intensity infrastructure such as DNS or automation on the Pi and place heavy media processing, large databases or write-intensive applications on storage and hardware designed for them. If you already own a suitable Pi, using it can be sensible; if the desired workload needs substantially more headroom, selecting another host before deployment is usually simpler than rebuilding after failure.
The selection rule
Choose the smallest service set that fits the exact Pi model, RAM and supported storage while leaving measurable headroom for updates, backups and peak activity. Use Home Assistant’s Pi 4/Pi 5 and 2 GB guidance, Pi-hole’s 512 MB prerequisite and Jellyfin’s acceleration warning as service-specific checkpoints. Then size storage independently: meet the operating-system minimum, use the A2 32 GB microSD recommendation where it applies, and move growing or write-heavy data to compatible SSD or network storage with tested backups.
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