The official OBS and YouTube documentation reviewed does not publish a universal RAM minimum for running OBS on a 24/7 YouTube stream. Your actual requirement depends on the encoder, resolution, frame rate, scenes, sources and the rest of the computer’s workload.
The reliable way to answer the question is to test the exact stream you intend to run, then watch memory alongside encoding, graphics and network performance. Upgrade the computer only when your measurements show that memory is the constraint, rather than assuming that a longer broadcast needs a particular RAM capacity.
There is no universal OBS RAM minimum
OBS does not give one fixed amount of RAM that every streaming computer must have. Its system requirements explain that compatible hardware does not guarantee that a computer can stream or record successfully, and that the demands vary with the chosen encoder, resolution, frame rate and scene complexity.
That distinction matters for an always-on channel. A computer may open OBS and display a simple video source without difficulty, but struggle when it has to decode a large file, render several browser sources, animate overlays and encode the output continuously. Another computer may handle the same broadcast comfortably because its graphics hardware and encoder are better suited to the workload.
The duration of the broadcast does not create a published RAM requirement by itself. The sources reviewed do not provide a 24-hour memory benchmark, nor do they establish that a stream running overnight needs a particular amount of system memory. Avoid treating a number copied from a generic OBS setup guide as an official requirement.
This also means that a computer advertised as meeting basic compatibility requirements is not automatically a good choice for an unattended channel. Compatibility is a starting point. Stable operation depends on what the computer is doing, how the stream is configured and what happens when a source, connection or application needs attention.
Why the workload changes the answer
RAM is working memory for the operating system and applications, but it is only one part of the streaming workload. OBS needs to keep its application state, loaded media, browser sources and scene data available. The operating system and other open programs need memory too.
A simple loop is usually easier to assess than a production with several changing elements. Consider two examples:
| Stream setup | Work that may affect stability | What to measure |
|---|---|---|
| One pre-recorded video with a static overlay | Video decoding, scene rendering and encoding | Memory use, dropped frames and encoder load |
| Several videos, browser sources, alerts and animated graphics | More source processing, rendering and application activity | Memory trend, GPU load, rendering lag and encoder overload |
These are not RAM tiers or official categories. They simply show why the same computer can behave differently with different scenes. A devotional channel playing one prepared file may have a different bottleneck from a local news loop that refreshes browser pages and changes graphics throughout the day.
Output settings matter as well. Resolution and frame rate influence how much work must be processed and encoded. The encoder choice changes where that work takes place. OBS explains that hardware encoding can move encoding work to a specialised component in supported graphics hardware, while software encoding uses the CPU. That changes CPU and GPU pressure, but it does not turn a hardware encoder into a RAM recommendation.
The OBS hardware encoding guide is useful when deciding which encoder your computer can use. Read it as guidance about encoder workload and quality, not as evidence that a certain memory capacity is required.
Test the actual scene and stream settings
The most useful test is a rehearsal using the file, scene collection, audio and output settings you expect to use when the channel is live. Do not test only an empty OBS window and assume the result represents the final stream.
Start with the intended media. If your channel will loop a long video, use that file or a representative file with similar resolution and movement. If it will show a rain animation, devotional artwork or a news layout, load the real scene elements. A still image and a browser-heavy scene can place very different demands on the computer.
Set the output resolution, frame rate and encoder before measuring. Changing those settings later can change the balance between CPU, GPU, memory and upload use. OBS also provides an Auto-Configuration Wizard through its Tools menu, which can help identify starting settings for the available hardware. Treat its result as a starting point to test, not as a guarantee of unattended operation.
Check the audio path too. A quiet video file may not reveal how your actual stream behaves when music, microphones, filters or repeated audio sources are active. YouTube recommends testing with sound and movement similar to the intended broadcast, previewing before going live and monitoring stream health. Its live encoder settings guidance explains that recommended settings vary by codec, resolution and frame rate.
For example, the YouTube page lists 5 Mbps as the recommended H.264 bitrate for 1080p at 30 frames per second, and 10 Mbps for AV1 or H.265 at that resolution and frame rate. For 1080p at 60 frames per second, it lists separate minimum and recommended figures for those codec groups. These are ingestion bitrate recommendations, not RAM requirements, and they should not be used to estimate memory.
A useful rehearsal should also include the actions your channel normally takes. Load the scene, start the media, check the audio, change scenes if required and allow the source to continue rather than stopping as soon as the preview appears. If the channel will run a playlist, test the transition between files. If it will refresh a page, observe the refresh. The aim is to reproduce the work that can expose a weakness.
Watch memory during representative operation
Use the operating system’s performance tools and OBS’s own statistics while the rehearsal is running. The exact labels differ between Windows, macOS and Linux, but the questions are the same: how much memory is in use, whether it continues to rise, whether the system begins swapping or paging, and whether OBS reports rendering or encoding problems at the same time.
Take an initial reading after the computer has started and unnecessary applications are closed. Then observe the system after the real scenes and sources have been loaded. A high reading by itself does not prove that more RAM is needed. Modern operating systems use available memory for caching, and a busy computer may still be working normally.
Look for behaviour rather than a single percentage. Warning signs include applications becoming unresponsive, frequent paging, long delays when changing scenes, browser sources failing, or memory use rising steadily without settling while the same content repeats. If the problem appears only after another application is opened, that application may be part of the constraint.
Record what happens when the problem occurs. Note the active scene, source, encoder, output settings and any message in OBS. This gives you something more useful than “OBS used a lot of RAM”. A memory problem should be distinguishable from a graphics overload, an encoder overload or a network problem.
A channel intended to run overnight needs more than a successful launch. Check what happens after the computer has been operating for a meaningful representative period and after the normal source transitions have occurred. The official material reviewed does not establish a universal 24-hour memory test, so do not present your own rehearsal duration as a general requirement for everyone.
You should also leave room for ordinary maintenance. Operating-system activity, updates, notifications and other tasks can compete with OBS. For an unattended computer, reduce unnecessary background applications and disable avoidable interruptions, while keeping the system and OBS maintained in a way that fits your own support routine.
Check encoding and graphics performance too
A stream that stutters is not necessarily short of RAM. OBS separates several kinds of performance trouble, including GPU overload, rendering lag, encoding overload and dropped frames caused by the connection. Its encoding performance troubleshooting guide can help you identify which part of the pipeline is failing.
Rendering happens before the encoded stream is sent to YouTube. The compositor must create the visible frame from the sources in the scene. Browser sources, filters, animated images, large transparent graphics and multiple video sources can increase graphics work even when they do not consume much system memory.
Encoding is another separate workload. If the CPU cannot encode each frame in time, OBS may report encoding lag. A hardware encoder can reduce CPU pressure when the relevant graphics hardware supports it, but hardware encoding still has its own compatibility and quality considerations. An older graphics device may offer a hardware encoder while producing a result that does not suit your intended stream.
Use the statistics in OBS to separate these cases. If memory is steady but rendering lag appears, simplifying the scene or reducing graphics work may be more relevant than buying RAM. If encoding overload appears, review the encoder and output settings. If the stream is smooth locally but frames are dropped on the way to YouTube, examine the upload connection.
This is why a memory upgrade should not be the first response to every overnight failure. Adding memory cannot repair an unsuitable encoder, an overloaded graphics processor, a damaged source file or an unstable internet connection. It may help when the computer is genuinely paging or running out of usable memory, but that needs to be demonstrated by the machine’s behaviour.
Consider upload capacity and scene complexity
Your computer can render and encode a stream correctly while the broadcast still reaches YouTube unreliably. Upload bandwidth is a continuous network requirement, separate from RAM. YouTube’s streaming tips recommend testing outbound capacity and leaving 20% headroom beyond the total stream bitrate.
That headroom is useful because an internet connection is not always delivering its best result. Other devices may use the connection, the service may vary during the day, or a test may not reflect the route to YouTube. Measure the connection you will actually use, preferably at the place and time where the channel normally operates.
The stream’s bitrate is not the only network traffic to consider. Browser sources may load pages, remote assets may refresh and other household or business devices may upload data. If the connection is shared, a computer that appears healthy in isolation may still produce a poor connection warning when the network is busy.
Scene complexity deserves the same practical treatment. Start with only the sources that the channel needs. Add a logo, ticker, clock, browser panel or animation one at a time, and observe the statistics after each change. This helps you find the source that changes the workload instead of guessing from the total number of sources.
For a prepared loop, file preparation can reduce the work required during the broadcast. The guide on preparing video files for a 24/7 stream on a low-end PC covers the practical side of making the media easier for a modest computer to handle. It does not replace testing, but a simpler source can remove unnecessary processing.
If your channel is built around a long ambient file, you may also find the workflow in how to stream monsoon rain sounds 24/7 on YouTube relevant to the media and scene choices involved. The useful principle is to test the real content rather than an empty scene.
Decide whether an upgrade addresses a real constraint
If testing shows that the computer is regularly paging, applications are being closed because memory is exhausted, or memory use rises until OBS becomes unstable, investigate a RAM upgrade. That is a conditional decision based on the machine, not a universal OBS recommendation.
Before buying a desktop RAM upgrade kit, check the motherboard or computer manufacturer’s specifications. Confirm the supported RAM generation and type, the maximum supported capacity, the number of occupied and available slots, and whether the existing modules can be combined with the proposed kit. A physically compatible-looking module is not automatically a supported choice.
Also check the rest of the system before committing. If the encoder is overloaded or the graphics processor cannot render the scene, more memory may leave the actual failure untouched. If upload reliability is the problem, memory will not improve the internet connection. Write down the observed constraint and the change you expect the upgrade to address.
There are two broad operating paths. Running OBS locally gives you direct control over scenes, sources and the computer, but you must maintain that computer, its connection and its recovery process. A cloud or managed workflow can remove the need to keep your own computer running, but it introduces service terms, account access and dependence on an external platform. You should compare those trade-offs rather than assuming one is best for every channel.
For readers who want to avoid leaving a home computer on, how to keep a YouTube live stream running without a PC in India explains the operational question separately from the RAM question. StreamNeo removes the need to keep OBS and your computer running for a prepared YouTube broadcast by letting you upload the video, provide the YouTube stream key and leave the continuous run, monitoring and restart handling to the service.
If you continue with local OBS, write down a recovery plan. Decide who will notice a failure, how the computer will restart after a power cut, where the stream key is stored, and how you will check the YouTube health indicators. For help with the connection step, see the OBS YouTube stream key settings for an always-on loop stream, then verify the current YouTube instructions before going live.
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
Does OBS have a minimum RAM requirement?
The official OBS system-requirements material reviewed does not publish a universal RAM minimum for streaming. It explains that capability varies with the encoder, resolution, frame rate and scene complexity, so test the intended setup instead of treating a fixed figure as an official requirement.
Will my PC run OBS all day?
You cannot answer that from RAM alone. Test the real scenes, media, audio, encoder and output settings, then watch memory, rendering, encoding and network statistics during representative operation.
Should I buy more RAM for a 24/7 YouTube stream?
Only if your measurements show a memory constraint, such as paging, exhausted available memory or a clear rise in instability as the workload continues. Check whether CPU encoding, GPU rendering or upload capacity is the real problem before buying anything.
How do I keep an OBS stream stable overnight?
Use a tested scene, minimise unnecessary background applications, confirm upload headroom and monitor the YouTube stream health indicators. Plan for power, connection and application recovery as well as computer performance, because RAM alone cannot provide unattended reliability.