A Raspberry Pi may suit a simple, low-processing YouTube feed, while an old PC may be a better fit when you need OBS scenes, capture devices or live encoding. Neither label tells you which machine will run your particular stream reliably or cost less to power: define the workload, test it, and measure the complete setup.
The useful comparison is not “small computer versus desktop”. It is whether each candidate can handle your source, output settings and software continuously, recover from interruptions, and do so at a wall-power draw you are willing to accept. A short successful broadcast is a starting point, not proof of overnight performance.
Define the stream workload first
Write down what the machine has to do before comparing its specifications. A file that has already been encoded and needs only to be sent to YouTube is a different job from a live production in which the computer captures a camera, mixes audio, combines scenes, adds text and encodes the result in real time.
For a devotional channel, for example, you might loop a prepared video with a fixed title card and a music track. A local news loop might instead rotate several clips and insert an updated notice. A study or ambience stream could use a static background and continuous audio. Each can have different demands depending on whether the material is relayed as-is or composed and encoded on the device.
Record the intended output resolution, frame rate, codec and bitrate, along with the input source and any effects or scene changes. YouTube's live encoder settings guidance covers supported ingest settings and recommends choosing settings that remain reliable on your available upload connection. Its H.264 recommendations include 6 Mbps for 720p30 and 10 Mbps for 1080p30; these are platform recommendations, not evidence that a particular Pi or PC can sustain encoding at those settings.
Also note whether you need a capture card, a camera, several audio inputs, a browser source, or filters. Every additional part of the production can change the amount of processing and the number of things that can fail. If the stream is simply a static image with a soundtrack, a walk-through of that simpler YouTube setup can help you define what the host actually needs to handle.
The resulting workload description should be specific enough to reproduce: “1080p30, one prerecorded video, one audio track, no scene changes” is more useful than “a bhajan stream”. If the actual channel alternates between a live camera and stored clips, test both states rather than only the easiest section.
When a Raspberry Pi may fit
A Pi is worth considering when the job is modest, the exact board and software path support it, and the attached equipment is limited. Its compact form may be convenient beside a router or display, and a low-processing relay may not call for the same resources as a multi-scene OBS production. These are reasons to test one, not a guarantee of continuous streaming capability.
Start with the exact model, rather than the family name. Check its ports, network connection, memory and the software you intend to run against the board's official hardware reference. Specification tables tell you what a model includes; they do not establish that it can encode your chosen output continuously. Confirm that your intended streaming application works on the operating system and architecture you plan to use, and that any required codec or hardware encoder is available through that software.
Power and peripherals also matter. Raspberry Pi's power-supply guidance specifies requirements by model and cautions that the supply must suit the board and its connected devices. A capture device, USB storage or other accessory changes the setup you need to test. Do not select a supply by copying the requirement for a different Pi model.
A Pi may make sense if your source is already encoded or needs little transformation, the output settings are modest enough for the exact software path, and a representative test stays stable. It may be the wrong tool if your production depends on scenes and effects the chosen setup cannot handle smoothly, or if the connections you need are absent. Decide from the complete workload, not from a reputation for low power or the purchase price of the board.
When an old PC may fit
An old PC may be the practical choice when you already own it and it has the connections, operating system and encoder support your production needs. It can be especially useful if the channel already relies on OBS scenes, camera capture or audio devices that are configured on that machine. Reuse avoids buying another board before you know whether a Pi can do the same job.
“Old PC” is no more precise than “Raspberry Pi”. A desktop with a supported, modern hardware encoder and the right drivers is different from a laptop whose processor is already busy or whose graphics hardware cannot be used by the selected software. Check the processor, graphics device, drivers, operating system, available ports and cooling condition on the actual machine. Then verify that OBS or your chosen application can use the encoder you plan to rely on.
If you need to create or alter scenes in OBS, its system requirements are a useful starting point, but OBS explicitly warns that meeting basic compatibility requirements does not guarantee capacity for the stream you choose. Resolution, frame rate, encoder and scene complexity all affect demand. A machine that opens OBS and sends a test stream might still struggle when you add a moving background, filters or a second capture source.
An old PC can also have costs beyond electricity: a failing fan, a worn drive, an unreliable power supply or an operating system that no longer receives suitable updates may complicate an unattended setup. Inspect and maintain the machine before leaving it live. It may be better to keep a familiar PC for a complex production; it may be a poor fit if it is unstable, noisy, or draws more power than you find acceptable. Measure rather than assume.
Compare encoder and processing demands
The key distinction is between moving data through a simple path and producing a new encoded stream. If the source is already encoded and your application can pass it through without decoding and re-encoding, the processing burden may be lower. If you scale, combine scenes, apply filters or add captured video, the computer has more work to do. Confirm what your software is actually doing: a file being played locally does not by itself prove that the outgoing stream is a direct relay.
For an OBS production, compare the available software encoder with any supported hardware encoder on the exact system. OBS generally recommends modern hardware encoding because it moves encoding work from the CPU to a specialised component. Its hardware encoding guidance also notes that older generations may produce lower image quality than software x264 at the same bitrate. “Hardware encoding” is therefore not a single quality level or a guarantee that the output will look as you expect.
Use a test with representative movement and audio. YouTube notes that content with more movement can need more data to maintain quality, and advises testing before going live. A static prayer image with a voice recording is not a fair test for a channel that also shows a moving camera or video montage. Check for visual artefacts, audio gaps, encoder overload and dropped frames at the settings you intend to keep.
| Workload | What the device must do | What to verify |
|---|---|---|
| Prepared file, little or no transformation | Read the source and send a suitable live feed | Whether the application can relay the source as intended, stable network upload, audio continuity |
| Static image with continuous audio | Combine or package image and audio, then deliver the stream | Whether the chosen software encodes or re-encodes, and whether audio remains in sync |
| OBS scenes with text or transitions | Composite sources and encode the changing output | Scene complexity, encoder support, dropped frames and image quality |
| Camera or capture-device production | Receive external video and audio, process them and encode output | Device compatibility, port availability, capture stability and sustained performance |
This table is a way to scope your test, not a ranking of machines. A Pi that passes a simple relay test has not thereby passed a camera-and-scenes test. A PC that struggles with a complex scene may still handle a prepared file well. The point is to compare both candidates on the same output and representative source, where possible.
Test sustained performance with a representative stream
Build a test that resembles the busiest normal part of your channel. Use the intended source, scene layout, audio, output settings, network connection and peripherals. If your programming alternates between a still image and a video loop, include the moving part. If the stream uses a camera only during a daily segment, include that segment too.
Run long enough to reveal recurring problems rather than stopping as soon as the stream appears in YouTube Studio. There is no universal test duration that proves round-the-clock reliability, and the sources reviewed do not establish a Pi-versus-PC duration threshold. Keep notes during a multi-hour run and, before relying on the machine unattended, repeat the test under ordinary conditions such as the time of day when your household or business network is busiest.
Watch the encoder's own statistics and YouTube Studio's stream health. YouTube recommends monitoring stream health during a broadcast; look for dropped frames, warnings, interruptions, resolution changes or audio problems, and note when they occur. If the encoder reports trouble, the stream looks poor, or audio loses sync, change one variable at a time and repeat the test. Lowering resolution or frame rate may help, but it changes the finished stream and should be an intentional choice rather than a hidden fix.
Check the device during the run as well. Look for thermal throttling or temperatures that climb, fan behaviour, memory pressure, software crashes, and whether the input remains connected. A machine that passes while cool on an open bench may behave differently in a closed cabinet or a warm room. Do not infer performance from one brief test after startup.
Finally, test what happens after an interruption. Restart the application and device deliberately, and check whether the stream can be brought back without manual intervention. You can also simulate a network interruption if you understand how to restore it safely. Note what recovers automatically and what requires you to sign in or reconnect. A successful run does not prove every outage will recover, but this test exposes parts of the workflow that need attention.
For a DIY PC route, consider whether you need to switch among stored videos rather than loop one source. The practical questions in this guide to switching prerecorded videos on a cloud-hosted YouTube stream can help you separate playlist or scheduling requirements from the hardware decision.
Measure actual wall power
Do not decide the running cost from the device name, processor label or a power figure measured on a different model. Plug the complete candidate setup into a suitable wall power meter: include the Pi or PC, its power supply, capture devices, storage and any other equipment whose consumption you want to count. If the router or network switch is dedicated to the stream, measure it too or record it as a separate cost.
Measure the machine while it is doing the workload you intend to leave running, not only at idle. Record power during startup, a representative live segment and a quieter part of the programme; note the meter's units and its displayed average or energy reading. Keep output settings and peripherals the same when comparing two candidates. If you alter scenes, resolution or encode settings between runs, record the change because it can alter both power and quality.
To estimate energy use over a day, use the meter's energy reading for the measured interval and scale it to a day only if the stream workload and power draw are reasonably similar throughout. If the meter reports average watts, convert using the hours actually observed: watts multiplied by hours gives watt-hours, and divide by 1,000 for kilowatt-hours. Apply your own electricity tariff to the resulting energy figure; do not treat it as a universal cost. A provider's tariff, billing structure and other household loads are outside the device comparison.
Raspberry Pi's hardware reference includes approximate historical measurements for older test configurations, including specific board generations and attached peripherals. It also notes that extra USB devices can increase consumption. Those figures are not present-day measurements for every Pi, and they are not a fair comparison with an unspecified PC. Use them as context only; a wall meter on your own setup answers the question that matters.
Include the practical costs in the decision as well. A Pi may require a suitable supply, storage, adapters or capture hardware; an old PC may need a replacement drive or fan. Record what you already own and what you would have to buy. A lower reading at the wall is useful evidence, but it does not settle the choice if that machine cannot produce the stream you need.
Choose based on evidence from your setup
Make a short scorecard for each candidate with the same workload: whether the software and encoder path work, whether the stream stays healthy, whether audio and video remain acceptable, how it behaves after a restart, and the measured wall-power result. Add the accessories and maintenance each machine needs. Leave an item unconfirmed if you have not tested it; a blank is more honest than assuming success from a product specification.
If both devices pass, decide which trade-off suits your channel. A compact Pi may be convenient for a simple feed, while a PC you already own may be the more sensible choice for scenes and capture. If only the PC passes the required production test, its higher wall draw, if measured, may be an acceptable cost of meeting the workload. If neither passes, reduce the workload or consider a different approach rather than relying on an untested machine overnight.
If the job is simply to keep a prepared file broadcasting and your own computer is the fragile part of the arrangement, a cloud-based workflow can remove the need to leave that local machine running. StreamNeo turns an uploaded video into a YouTube live stream, so you do not have to keep the test PC powered just to relay that file. It is YouTube-only and does not replace OBS when you need to produce a changing, multi-source live programme.
A guide to a 24/7 FFmpeg loop and its DIY trade-offs can help you compare a self-managed file loop with other ways to keep a prepared feed live. Whatever route you choose, retain your test notes and check YouTube's current encoder settings and stream health guidance before changing the output. Neither a power reading nor a successful test guarantees future uptime.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
Is a Raspberry Pi powerful enough for a 24/7 YouTube stream?
It depends on the exact model, software, source and output settings. A simple feed may have different demands from OBS scenes or live capture, so test the intended workload and check stream health rather than relying on the board name.
Is an old PC always cheaper to run than a Pi I need to buy?
Not necessarily. Measure the complete PC setup and the Pi setup at the wall under the same representative workload, and include the accessories each one needs. The device label alone does not establish energy use or total cost.
Can I use OBS for a stream that runs all day and night?
OBS can be part of a continuous setup, but basic software compatibility does not prove that a machine can sustain your chosen resolution, frame rate, encoder and scenes. Test the production you intend to run, monitor stream health, and check how the application recovers after a restart.
What should I check before leaving either device unattended?
Confirm that the stream remains stable during a representative run, audio and video are acceptable, and the device can recover from the interruptions you have tested. Keep an eye on temperatures, network stability and YouTube Studio's stream health, and check current official guidance when you change settings.