A practical starting estimate for a 24/7 YouTube streaming server on Vultr is about $20 per month, based on Vultr’s OBS-on-Ubuntu guide and its listed 2-vCPU, 4-GB Cloud Compute plan. Treat that as a reference point, not an all-in price or a guarantee that the plan suits your particular stream.
The total depends on what the server does and how much data it sends to YouTube. A continuous stream can use much of the listed bandwidth allowance, and separate services or a different deployment may add cost. Check Vultr’s current plan terms before you create an instance.
Vultr’s starting cost at a glance
The clearest documented baseline is the configuration in Vultr’s streaming-server guide: at least 2 virtual CPUs, 4 GB of memory, 80 GB of storage and 3 TB of bandwidth for its Ubuntu and OBS example. Vultr’s Cloud Compute pricing page lists a plan matching the guide’s CPU and memory figures at $20 per month, with 3 TB of bandwidth. These are figures listed on Vultr’s site in September 2026; prices and terms can change.
That gives you a useful answer to the headline question: plan around $20 per month for the cited starting configuration, then check whether your continuous outbound traffic and deployment fit the allowance and included resources. The estimate is conditional. It does not include a promise that every stream will run comfortably on that plan, that there will be no overage, or that no separate service will be needed.
The price is for cloud compute, not a finished YouTube channel. You still need to prepare the video or scene, configure the broadcast, provide a valid YouTube stream key and test that playback continues as intended. You may also choose a different operating system, software arrangement or storage setup. Those choices affect both the work involved and the resources required.
A smaller plan appears cheaper, but it is not the same configuration as the guide. Vultr’s pricing page lists a 2-vCPU, 2-GB plan at $15 per month with 3 TB bandwidth, also as listed on Vultr’s site in September 2026. Since Vultr’s example calls for 4 GB RAM, the cheaper listing should not be presented as a like-for-like price for that documented setup.
What Vultr’s example server asks for
Vultr’s guide describes one way to run OBS on Ubuntu. Its stated minimums are 2 vCPUs, 4 GB RAM, 80 GB storage and 3 TB bandwidth. They are minimums for that guide’s example, not a universal specification for every 24/7 broadcast or a test result for your own video.
The distinction matters because “streaming server” can describe different workloads. A machine that encodes a video, composites several sources and renders overlays is doing more than one that sends a prepared, already-encoded file. A complex OBS scene can also use more compute than a simple loop. The guide itself advises reducing output resolution or upgrading if CPU use is high; that is a reason to test your workload rather than assume the listed plan will cover all cases.
Storage is a separate consideration from the live connection. An 80-GB allocation is the guide’s stated figure, but your media library might be larger, or you might store source files elsewhere. Check how much of the assigned storage your chosen setup uses and whether backups or additional storage are needed. Do not confuse the size of one video with the amount of bandwidth it consumes while being streamed: storage holds the file, while outbound traffic is generated as the stream is sent.
For a practical deployment, make a short checklist before choosing a plan: identify whether the server will encode or simply send prepared media; note the resolution, frame rate and bitrate you intend to use; estimate how long it will transmit each month; and decide where the media and any backup copy will live. These questions expose whether the example is a sensible starting point for your channel, rather than treating a guide’s minimum as a blanket recommendation.
If you are comparing approaches as well as providers, the AWS VPS walkthrough for an FFmpeg YouTube livestream helps illustrate that the software and deployment pattern matter alongside the monthly compute line. It is not evidence that one provider will cost the same as another; compare each provider’s current plan, bandwidth and billing terms directly.
Matching the guide to Vultr’s listed plans
The table separates Vultr’s listed plan figures from the bandwidth arithmetic used below. Plan prices are listed on Vultr’s site in September 2026. The traffic estimate is calculated from a constant bitrate over a 30-day month; it is not a Vultr quote or a prediction of a particular bill.
| Choice or assumption | Figure | What it tells you |
|---|---|---|
| 2-vCPU, 2-GB Cloud Compute plan | $15/month; 3 TB bandwidth | Lower listed price, but less memory than the guide’s stated 4-GB minimum |
| 2-vCPU, 4-GB Cloud Compute plan | $20/month; 3 TB bandwidth | Closest listed match to the guide’s CPU and memory figures |
| Constant 10-Mbps stream for 30 days | About 3.24 decimal TB transmitted | A calculation to compare with the 3-TB allowance, not a plan price |
| Illustrative excess above 3 TB at $0.01/GB | About $2.40 for roughly 240 GB | A rough calculation using Vultr’s stated overage rate; actual billing rules apply |
This comparison is deliberately narrow. A plan’s CPU and RAM tell you about compute resources; its listed bandwidth is another limit to watch. The matching plan is a defensible documented starting point because it lines up with the guide’s 2-vCPU and 4-GB requirements, but that does not prove that encoding, overlays, storage needs or every other part of your stream will fit.
It is also worth distinguishing price presentation from what you will ultimately pay. Cloud providers may offer hourly billing alongside a monthly figure and apply instance-specific billing rules. Before provisioning, confirm how the chosen plan is billed, what happens if it is stopped, and whether bandwidth is pooled or calculated per instance under the current terms. Do not assume that shutting down a machine ends billing: Vultr’s FAQ says a stopped instance continues to incur charges until it is destroyed.
Compute and included bandwidth are different costs
The server’s compute resources are the virtual CPUs and memory used to run the operating system and streaming software. Bandwidth is the data sent over the network. A stream that runs all day continues to send data even when nobody is watching the YouTube channel, so low audience numbers do not necessarily reduce the server’s upload traffic.
For a simple estimate, multiply the bitrate in bits per second by the number of seconds streamed, then divide by eight to convert bits to bytes. At a constant 10 Mbps for 30 days, the calculation is 10,000,000 bits per second × 2,592,000 seconds ÷ 8, or about 3.24 decimal TB. That is slightly above a 3-TB allowance. It is a planning illustration with a constant rate and a 30-day period, not a promise about Vultr’s meter or the amount that will appear on an invoice.
The stream’s actual bitrate is therefore an important input to your budget. YouTube’s encoder guidance recommends H.264 at 8 Mbps for 720p at 30 frames per second and 14 Mbps for 1080p at 30 frames per second. A higher bitrate sends more data over the same period. Your chosen settings and encoding format should be based on the content and YouTube’s current guidance, not on the assumption that a particular monthly allowance will always be enough.
Vultr’s FAQ says it measures charged bandwidth on outbound traffic, does not charge for inbound traffic and lists $0.01 per GB for usage above quota. Using the simple 10-Mbps example, about 240 GB beyond a 3-TB allowance multiplied by that listed rate gives roughly $2.40. This is only an illustrative calculation; real charges depend on Vultr’s metering, allocation and billing rules. The overage figure is listed on Vultr’s site in September 2026 and should be checked again before you rely on it.
YouTube’s audience delivery is not the same as the VPS’s outgoing stream. The VPS sends its feed to YouTube; YouTube says it transcodes the incoming live stream into multiple output formats for viewers. You should estimate the server’s outbound traffic from its feed to YouTube, not multiply the feed by the number of viewers as if the VPS were separately serving each viewer’s copy. See YouTube’s live encoder settings and bitrate guidance for the current recommendations and explanation.
When the bill may increase
The most direct variable is bitrate multiplied by time. A channel that runs a higher-bitrate feed around the clock will send more data than one using a lower bitrate, even if both use the same server. Estimate with the settings you actually expect to use, then compare the result with the plan’s current allowance. Leave room for differences between a simple arithmetic estimate and the provider’s measurement rules rather than treating the calculation as an invoice forecast.
Compute can also become the limiting factor. If the server is encoding, rendering layered scenes or handling several sources, its CPU and memory load may differ from a basic prepared-file loop. If a test shows sustained high CPU use, you may need to simplify the scene, lower output resolution or use a larger plan. Each choice has a trade-off: a lower output may be acceptable for a devotional playlist or ambience channel, while text-heavy news or product footage may need a clearer image.
Storage and other services can change the total as well. A larger media collection may require more space than the example’s 80 GB. If you choose a separate backup, storage product or other service, check its own price and billing terms rather than assuming it is included in the Cloud Compute price. The available information here does not establish what any added service will cost for your deployment.
Be precise about named products. Vultr documents a separate Broadcaster Marketplace application and describes its own features, including advertised unlimited network bandwidth. Those claims refer to that named product, not ordinary Cloud Compute instances. Do not transfer the separate application’s advertised terms to a standard plan; review the product page and conditions if you are considering it.
A managed workflow can remove a different kind of cost: your time and the need to keep your own computer running. For a pre-recorded loop where the pain is maintaining a local PC overnight, StreamNeo turns an uploaded video into a YouTube live stream that continues with your computer off and restarts automatically if it drops. It is YouTube-only, so it is not a substitute if you specifically need a configurable VPS for custom software or a different destination.
Check the current plan terms before you commit
Treat the figures here as a dated reference, not a standing quote. The $15 and $20 monthly plan figures, 3-TB allowance and $0.01-per-GB overage rate are listed on Vultr’s site in September 2026. Before creating an instance, revisit Vultr’s Cloud Compute pricing page and its FAQ on bandwidth and instance billing. Confirm the exact plan, its current resources, allowance, overage terms and billing treatment.
Then test the configuration you intend to run. A brief trial can expose an overloaded scene or a bitrate setting that would consume more bandwidth than expected, but it cannot establish every future month’s traffic. Check CPU use while the stream is active, verify that the video loops as intended, and watch outbound usage where Vultr makes it available. Keep a note of the stream’s bitrate and duration so you can compare your own pattern with the plan allowance.
If your channel uses a pre-recorded loop, software settings matter too. The guide’s OBS example is one route, but you may be evaluating a playlist workflow or a different encoder. The OBS settings for looping pre-recorded video on YouTube Live are relevant when you are deciding how the media is sent, while a Windows VPS setup for a nonstop playlist stream in India gives you another deployment pattern to compare. Neither replaces checking the provider’s own current price and bandwidth terms.
For readers who are still comparing a rented server with a managed workflow, the VPS versus cloud streaming service comparison for a 24/7 channel in India can help frame the choice around control, maintenance and the time you can spend monitoring the stream. A VPS gives you control over the environment, but also leaves setup and ongoing checks with you. A managed service can reduce that operational work, while narrowing what you can configure.
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 Vultr’s $20 plan enough for any 24/7 YouTube stream?
No. It is a listed plan that matches the 2-vCPU and 4-GB memory figures in Vultr’s OBS-on-Ubuntu guide, not a universal fit guarantee. Your encoding workload, scene complexity, bitrate, storage and deployment determine whether it is adequate.
Does a 10-Mbps stream fit within 3 TB for a month?
At a constant 10 Mbps for 30 days, the arithmetic is about 3.24 decimal TB, so it is above a 3-TB allowance in that simplified example. Actual usage and charges depend on the provider’s metering and allocation rules, so check current Vultr terms rather than treating the calculation as a bill.
Does YouTube’s viewer count multiply my Vultr bandwidth use?
Not in the way it would if your VPS delivered a separate video copy to every viewer. Your server sends the feed to YouTube, and YouTube says it transcodes the incoming live stream into formats for viewers. Estimate the VPS’s outbound traffic from the feed it sends.
Is the $20 figure the complete monthly cost?
It is not safe to assume that. It is a listed monthly Cloud Compute price for one plan, while overage, separate services or a different deployment may affect the total. Verify current plan and billing terms before purchase.