A continuous YouTube stream does not make Vultr or Hetzner the universal winner. The better choice depends on your outgoing bitrate, the selected plan’s traffic allowance, the region near your audience or YouTube’s ingest path, and whether the server only forwards video or also encodes it.
Vultr has a directly documented OBS and Broadcaster workflow for a 24/7 stream. Hetzner may fit well when the right Cloud zone gives you suitable outbound traffic and location. Neither provider’s marketing material or published allowance proves that a particular instance will deliver your stream reliably through every night.
Start with the workload, not the provider name
Before comparing dashboards, write down what the cloud machine will actually do. There are two materially different arrangements:
- It can send an already encoded video or feed to YouTube.
- It can read source files, encode or transcode them, and send the result to YouTube.
In the first arrangement, the main concerns are a stable process, enough outbound network capacity, storage for the source, and a recovery procedure. CPU demand may be modest because the machine is not creating every video frame again.
In the second arrangement, the machine must decode the source, perform the chosen video and audio encoding, and transmit the result continuously. Resolution, frame rate, codec, presets, scene complexity and hardware acceleration all affect the load. A plan that is adequate for forwarding a pre-encoded stream may be unsuitable for encoding 1080p video.
This distinction also changes what a test means. A successful one-hour forwarding test says little about a plan that will later transcode a moving devotional video, a news loop with text overlays, or several channels at once. Test the same workload you intend to run.
Vultr’s Broadcaster marketplace guide documents an OBS-based route for running a 24/7 stream from uploaded source files. That is useful setup documentation, but it is not a benchmark for a particular instance. Vultr’s Optimized Cloud Compute documentation also identifies video transcoding as a use case for dedicated CPU compute. The documentation helps you identify a possible workflow; it does not establish which size, resolution or frame rate will work for your file.
If you are deciding between cloud hosting and a small device at home, keep the workload distinction in view. A low-power Raspberry Pi setup for a 24/7 YouTube stream may be sensible for a light forwarding task, but it is not automatically the right tool for cloud encoding or an unreliable local connection.
Estimate outbound traffic from the bitrate
Your stream’s encoded bitrate is the starting point for the bandwidth calculation. The relevant direction is generally the data leaving the host towards YouTube, rather than the source file being uploaded to the host once.
A useful first-pass estimate is:
monthly data = bitrate in bits per second × seconds in the month ÷ 8
At decimal units, a stream running at 1 Mbps for 30 days produces about 0.324 TB before audio, protocol overhead and operational variation. On that same basis, a continuous 10 Mbps stream produces about 3.24 TB in 30 days. These are arithmetic estimates, not provider figures.
| Continuous encoded bitrate | Approximate 30-day outbound data | What to remember |
|---|---|---|
| 1 Mbps | 0.324 TB | Add audio and protocol overhead |
| 3 Mbps | 0.972 TB | Still compare with the plan allowance |
| 6 Mbps | 1.944 TB | A modest change in bitrate has a large monthly effect |
| 10 Mbps | 3.24 TB | Example of a 1080p30 H.264 recommendation from YouTube’s current guide |
| 12 Mbps | 3.888 TB | Example of a 1080p60 H.264 recommendation from YouTube’s current guide |
The last two rows refer to examples listed in YouTube’s encoder settings and bitrate guidance, retrieved on 3 October 2026. Do not select a bitrate from the table without checking the current YouTube guidance for your resolution, frame rate, codec and audio settings.
The estimate is deliberately not a promise about your bill. Your encoder may use a target bitrate with some variation, the stream may be restarted, and the month may not contain exactly 30 days. Leave room between your estimate and the allowance rather than choosing a plan whose limit is almost identical to the calculated output.
For example, if your channel uses a 10 Mbps video setting continuously, the calculation gives roughly 3.24 TB for 30 days before overhead. You then need to compare that figure with the exact outbound allowance for the product and region. If your plan includes less than the expected requirement, the choice is not rescued by having plenty of CPU or storage.
This is also why two operators can report different experiences with the same provider. One may run a low-bitrate audio-led channel, while another sends a higher-resolution video loop. Their CPU usage, traffic consumption and cost exposure are not interchangeable.
Compare the exact traffic allowance and overage terms
The relevant comparison is not “Vultr versus Hetzner” in the abstract. It is the quoted traffic allowance for one specific product, location and billing period against your calculated outbound requirement.
Vultr states that outbound data transfer is measured towards bandwidth limits, while inbound traffic is not metered towards those limits. Vultr’s bandwidth overage documentation lists an overage charge of $0.01 per GB, as listed on Vultr’s site in September 2026; the policy was updated on 16 December 2025. Check the selected instance’s included transfer and the current regional price in the Vultr console before ordering, because product prices can vary between locations.
That overage rate should be treated as a cost-control input, not as evidence that a stream will remain healthy. A plan can continue sending data while creating an unexpected bill, and a plan with a generous allowance can still suffer a process failure or a network interruption.
Hetzner’s traffic table lists different Cloud allowances by network zone and product. In the EU entries, the table lists 20 TB for CX, CPX and CAX Cloud servers, while CCX entries range from 20 TB to 60 TB depending on the plan. The same table lists different amounts for the US and Singapore locations. These figures are from Hetzner’s Robot Docs traffic table, as listed on Hetzner’s site in September 2026. Confirm the live amount, price and overage terms for the exact Cloud model and zone you would order.
Do not carry the traffic description for Hetzner dedicated root servers into a Cloud VM comparison. They are separate products with separate terms. Also check whether traffic between locations is relevant to your design: Hetzner’s Cloud location documentation says that traffic between different network zones is billed as normal internet traffic, as listed on Hetzner’s site in September 2026.
A simple worksheet is more useful than a generic recommendation:
- Record the video bitrate and audio bitrate you will actually use.
- Convert the continuous total into a 30-day estimate.
- Add a margin for overhead and variation.
- Record the included outbound traffic for the exact plan and location.
- Note the overage rate, alerting options and any billing controls.
- Repeat the calculation if you may run more than one channel from the machine.
Do not assume that a viewer watching your YouTube stream creates a second copy of the outbound traffic from your VM. Your host is normally sending the stream to YouTube’s ingest service; YouTube then distributes it to viewers. The host-side calculation therefore centres on the encoder’s outgoing stream, not on the total number of viewers.
Choose a region for the real path
Region matters in two directions. First, it affects the network path from the host to YouTube’s ingest service. Second, it affects the path from your own computer to the host when you upload source files, connect for administration or recover the process.
A nearby region can reduce the distance and the number of network segments involved, but distance alone does not establish a better stream. The retrieved Vultr and Hetzner material does not provide a direct, head-to-head benchmark of YouTube ingest performance. Do not turn a location list into a claim about stream reliability.
For an India-based operator, compare the locations actually available in the current console rather than relying on a general map. Consider whether your source files are uploaded from India, whether your audience is mainly in India or elsewhere, and whether the selected region is available at the size and price you need. If your audience is spread across countries, the audience geography does not necessarily tell you where the best ingest path will be.
Hetzner’s Cloud location documentation lists six locations across four network zones, as listed on Hetzner’s site in September 2026. The zone distinction matters when comparing traffic terms and when designing a multi-machine arrangement. If you put a source or processing machine in one zone and the streaming machine in another, check the resulting network charges instead of assuming internal traffic is free.
A practical test is to deploy the intended plan in the intended region, upload a representative file and run the actual encoder to YouTube. Watch the encoder’s send rate and YouTube’s stream health. Repeat at the times when your connection and channel normally operate. This will not prove that the stream can never drop, but it can reveal a poor route, insufficient CPU or an incorrect encoder configuration before you commit to a nightly schedule.
If your main issue is not cloud location but playback interruptions for viewers on a particular connection, separate those symptoms from ingest. A guide on fixing a YouTube radio stream that buffers on Indian internet concerns a different part of the path. Viewer playback and host-to-YouTube delivery should not be diagnosed as the same failure.
Separate encoding capacity from forwarding capacity
An already encoded file still has to be read, processed by the streaming application and sent to YouTube, but that is a different load from producing a new compressed video stream. If the host only forwards a prepared feed, network allowance and process supervision may dominate the decision. If it encodes or transcodes, CPU or hardware-encoding support becomes a central requirement.
YouTube’s current encoder guidance lists RTMP and RTMPS, H.264, H.265 and AV1 options, up to 60 frames per second, constant bitrate guidance and keyframe recommendations. It advises a 2-second keyframe frequency and says not to exceed 4 seconds, as retrieved from YouTube Help on 3 October 2026. Use the current page for the exact combination you select rather than copying an old OBS preset.
YouTube’s guide gives 10 Mbps as an H.264 example for 1080p30 and 12 Mbps for 1080p60. Those settings are relevant to both traffic and encoder load, but they do not tell you whether a particular Vultr or Hetzner plan can produce the stream. A 1080p source with overlays and movement can place a different load on the encoder from a mostly static image, even at the same output bitrate.
For a transcoding workload, test:
- the exact resolution and frame rate;
- the intended codec and rate-control settings;
- the same audio layout and sample rate;
- representative movement, text and scene changes;
- the number of simultaneous outputs, if any; and
- CPU use, dropped frames and recovery after a process restart.
Vultr’s Optimized Cloud Compute documentation describes its dedicated virtual machines as suitable for demanding applications including video transcoding, as listed on Vultr’s site in September 2026. That identifies a product category, not a result for your particular source file. Hetzner’s Cloud product descriptions likewise should be read as specifications and commercial terms, not as an assurance that a chosen encoder preset will sustain your stream.
If your channel is a simple playlist of prepared videos, encoding once before upload may reduce the cloud workload. If you need live overlays, subtitles, scene changes or multiple resolutions, the encoder may need more CPU or a different architecture. Decide that before comparing hourly or monthly instance costs.
For a pre-recorded channel, constant bitrate can also make traffic planning more predictable. The practical differences between constant and variable bitrate are explained in CBR versus VBR for a 24/7 YouTube stream from pre-recorded video. The choice still needs to match YouTube’s current guidance and your content rather than being treated as a universal rule.
Plan the parts that recover at night
A 24/7 channel needs more than a machine that starts once. Plan what happens if the streaming process exits, the source file is unavailable, the connection to YouTube fails, or the host reboots.
At minimum, use a process supervisor or equivalent restart mechanism, keep the source files in a location that survives a process restart, and protect the YouTube stream key. Record when the process starts and stops. Set a bandwidth alert where the provider supports one, and decide who will respond if the alert fires.
Recovery should be tested rather than described only in a note. Stop the streaming process deliberately. Reboot the machine if that is part of your expected failure mode. Temporarily remove access to the source file. Confirm that the process restarts, that it can find the file again, and that the YouTube broadcast returns in the way you expect.
Keep a second copy of important source material. A stream that depends on one disk path or one manually uploaded file is harder to restore than one whose media can be replaced from a known copy. Stream-key security matters as well: do not place the key in screenshots, public repositories or shared notes without access control.
StreamNeo removes the need to keep your own computer running by taking an uploaded video, sending it to YouTube continuously, and handling automatic monitoring and restarts, which is useful when the main pain is overnight operation rather than cloud-instance administration. It is YouTube-only, so it does not replace a or custom encoding setup.
An availability commitment also needs careful reading. Hetzner’s Cloud service agreement states a commercially reasonable effort to achieve 99.9% monthly availability for Cloud servers, as listed on Hetzner’s site in September 2026. That is contractual availability language with scope and exclusions. It is not a guarantee that your video stream will never drop, that the encoder will recover, or that YouTube will accept every reconnect.
The research used for this comparison did not establish a directly comparable Vultr availability commitment for this specific workload. Avoid ranking the providers by SLA alone. Ask what the commitment covers, what it excludes, and how it relates to your own process, YouTube ingest and recovery design.
Run a test on the intended plan
A sensible selection process has two stages. First, use the bitrate and traffic calculation to remove plans that cannot cover the expected outbound data. Second, test the remaining plan with the actual stream workload.
Use the exact region and instance class you expect to keep. Install the intended encoder, upload representative media and configure the same output settings you will use in production. Do not substitute a short, low-motion test file for a devotional video with animated text, a local news loop with graphics or a music visualiser with frequent scene changes.
During the test, record:
- the encoder’s CPU and memory use;
- output bitrate and dropped frames;
- connection interruptions and reconnect behaviour;
- YouTube’s stream-health messages;
- outbound traffic shown by the provider; and
- the time required to restart after a deliberate stop.
YouTube explicitly says to test before starting a live stream and advises monitoring stream health during the event, in its encoder help retrieved on 3 October 2026. Treat the test as evidence about your chosen workload, not as evidence that every plan from that provider behaves the same way.
Also test the boring parts. Let the source file reach its end if your application is expected to loop it. Confirm that the next file begins correctly. Check what happens after a machine reboot. Verify that alerts reach the person who will act on them. If you cannot explain how the channel returns after a process failure, the provider comparison is not finished.
The right result may be Vultr if its documented Broadcaster workflow reduces setup uncertainty for your particular forwarding or OBS arrangement. It may be Hetzner if the selected Cloud zone gives you adequate outbound traffic, a suitable region and a quoted total that fits your operating budget. If either choice requires the VM to encode, let the workload test decide rather than the provider’s product label.
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 better than Hetzner for a 24/7 YouTube stream?
There is no evidence-based universal winner from the documented material. Choose using the exact traffic allowance, region, encoding workload, quoted cost and recovery process for your channel.
How much bandwidth does a 10 Mbps stream use?
At decimal units, 10 Mbps continuously produces about 3.24 TB over 30 days before audio, protocol overhead and operational variation. Compare that estimate with the exact outbound allowance for the chosen plan and leave room for variation.
Should the cloud server encode the video or only forward it?
Forwarding an already encoded stream generally creates a different CPU requirement from encoding or transcoding source files on the VM. If the VM encodes, test the exact resolution, frame rate, codec, content and instance class before relying on it overnight.
Does an uptime commitment guarantee that my YouTube stream will stay live?
No. An uptime commitment defines a provider’s contractual availability scope and exclusions. Your stream can still be affected by the encoder, source file, connection to YouTube, YouTube ingest or an untested recovery process.