A 4K 60fps YouTube loop has no documented universal winner between Vultr and Hetzner. If your video is already encoded and the cloud server only relays it, compare the exact plan price, included outbound traffic, location and measured stability; if the server must encode 4K60, that is a different hardware decision.
The useful first step is to establish which job the machine will do. Then use YouTube’s stream settings to estimate traffic, check each provider’s current terms for the location you need, and run a sustained test before committing to a month of continuous broadcasting.
No documented universal winner
The available provider documentation does not establish that Vultr or Hetzner is categorically cheaper, faster or more reliable for a 24/7 YouTube broadcast. A price comparison only means something when it matches the server family, region, bandwidth allowance and workload you actually plan to use. Nor does a published bandwidth figure prove that a route to YouTube ingest will remain stable for your channel.
For an already encoded file, the choice often comes down to transfer cost and network behaviour rather than a need for a powerful encoding machine. That still leaves important local details: a European server may have different traffic terms from one in the United States or Singapore, and a route that works well for one destination is not proof of how another will perform.
Treat the choice as a comparison to test, not a contest with a winner in advance. Write down the location and plan you intend to use, calculate the stream’s expected monthly transfer, inspect the current price and excess policy, and test stream health from that region. If you cannot verify a current price or allowance, leave it as an open item rather than filling it in from an old comparison.
First decide whether the machine relays or encodes
An encoded-stream relay takes an existing video stream and sends it onwards to YouTube. It does not need to decode the source, assemble scenes and encode a new 4K60 output. This is the simpler cloud workload, although it still depends on a continuous outbound path, adequate transfer allowance and a stream that YouTube accepts.
Server-side encoding is a different task. The server must decode or render its inputs, compose the output if necessary, and encode frames at the selected resolution and frame rate. A loop made from one prepared file may not require that work if you can transmit the encoded file as-is; changing overlays, scenes or output parameters can change the workload. CPU and GPU capability then matter alongside network transfer.
Do not infer a safe 4K60 encoding configuration from a provider’s general product description. Vultr documents a GPU product family and an OBS deployment, but those descriptions alone do not establish that a particular instance will encode your footage reliably. The available Hetzner traffic and server pages likewise do not identify an exact machine configuration suitable for server-side 4K60 encoding. If encoding is required, establish your software, codec and workload first, then benchmark an exact candidate configuration with representative content.
For a loop, it is worth checking whether you can prepare the final output in advance. A stable file avoids paying for compute that exists only to re-encode an unchanged picture, but it does not remove the need to deliver that stream continuously. If the workflow needs live graphics or frequent scene changes, document those requirements before choosing the machine; they affect the compute side of the comparison.
Compare plan prices and traffic terms
Start with the stream bitrate, because continuous outbound video accumulates quickly. YouTube Help’s live encoder settings lists 35 Mbps as the recommended H.264 bitrate for 4K/2160p at 60fps. At a constant 35 Mbps, the video alone amounts to approximately 11.34 decimal TB over 30 days, calculated as bitrate multiplied by seconds in that period and divided by eight. It is an estimate, not a provider-published allowance: audio, protocol overhead, bitrate variation and actual uptime alter the total.
That arithmetic is useful because an inexpensive monthly server plan may not be inexpensive for a stream that exceeds its included transfer. Compare the price for the exact plan and location with the cost of its included outbound data and any applicable excess traffic. The provider’s billing page is the authority for its current accounting and charge rules, not a general-purpose cloud price comparison.
Vultr says that outbound data transfer from cloud resources counts towards bandwidth usage, while inbound data is not metered against its limits. Its bandwidth accounting documentation explains the accounting basis. A continuous YouTube broadcast is principally outbound from the cloud machine, so do not use a figure for inbound traffic to estimate the relevant side of your bill.
Hetzner’s traffic allowance depends on server family and location. Its traffic documentation lists 20 TB for EU CX, CPX and CAX cloud servers, while US and Singapore allowances vary by plan. Check the exact family and location rather than treating 20 TB as a worldwide allowance. Also read the current excess policy and price before purchase; an allowance figure by itself does not tell you what additional transfer will cost.
A practical comparison table should have one row per candidate plan, not one row per provider. Use the provider’s current price page when you fill it in, and record the date you checked. Prices and terms change, so this article does not claim a current head-to-head price or universal cheaper choice.
| Item to compare | Vultr candidate | Hetzner candidate |
|---|---|---|
| Exact plan and location | Record the selected instance and region | Record the selected server family and location |
| Monthly plan price | Check the current provider listing | Check the current provider listing |
| Included outbound traffic | Check the current plan and billing terms | Check family- and location-specific allowance |
| Excess traffic | Check how excess is handled and charged | Check the current excess policy and charges |
| Workload | Relay, or encode/render | Relay, or encode/render |
| Test result | Record sustained stream-health observations | Record sustained stream-health observations |
When publishing or revisiting a concrete price, attribute and date it, for example, “as listed on the provider’s site in September 2026”. Do not compare a monthly plan fee on one side with a total that includes excess transfer on the other. The fair comparison is the expected cost for the same workload, region, and period, with uncertainty called out where the exact transfer cannot be known in advance.
Check location and server-family allowances
Location matters twice. It can affect the provider’s included transfer terms, and it determines the network route from the machine to YouTube’s ingest service. Hetzner’s published allowance is explicitly tied to families and regions: the 20 TB figure applies to EU CX, CPX and CAX cloud servers, not to every Hetzner product or location. Its cloud server overview also says a server needs a Primary IP to connect to the public internet.
Vultr’s bandwidth accounting documentation explains what counts as outbound transfer, but your selected plan and location still need checking against current terms. Do not assume that a global product description answers the exact amount of traffic included for a specific instance. If the region you want is absent from the terms you have checked, ask the provider or verify the current listing before budgeting around it.
Your audience’s location can inform the region shortlist, but it does not settle the route to YouTube. A server near viewers is not necessarily a server with the best path to ingest, and a route that worked from one location may behave differently from another. Where the selected plan allows it, test the actual region and destination you intend to use, not a different datacentre or a short generic download test.
For a channel in India, include the viewers’ likely region in the planning, then test the chosen cloud location against YouTube’s stream health rather than assuming a nearby server is automatically better. If you are deciding whether the same loop is the right channel format for an Indian audience, the practical considerations in running a new 24/7 live channel in India are separate from the provider decision. The server comparison should still be based on measured performance and verified traffic terms.
When Vultr’s OBS deployment fits
Vultr documents a Broadcaster marketplace deployment that provides a remotely accessible OBS setup, with GPU integration described in its Broadcaster documentation. This is a relevant distinction if you want to work with OBS in a cloud-hosted environment rather than configure an ordinary relay process yourself. It is a documented deployment path, not proof that a particular plan is right for a 4K60 encoding workload.
Ask what role OBS will play before treating the deployment as a solution. If your source is already encoded and the only requirement is to transmit it continuously, a full desktop broadcasting workflow may be more than you need. If you need to operate scenes, sources or overlays remotely, OBS may be relevant, but check the candidate plan’s actual CPU/GPU resources and test the intended output. The documentation does not give evidence for an exact safe configuration that can be recommended here.
A marketplace shortcut can reduce setup work, but it does not replace stream testing or traffic arithmetic. You remain responsible for the file, the YouTube stream key, the chosen output settings and confirming that the broadcast stays healthy. For a pre-recorded RTMP stream, a mismatch between the stream’s declared and actual resolution can also surface as a YouTube warning; the troubleshooting steps in fixing a resolution mismatch warning are useful when validating the output rather than merely assuming the deployment has configured it correctly.
If your priority is simply keeping an unchanged file broadcasting while your own computer is off, StreamNeo removes the work of managing a cloud-hosted OBS session for that particular workflow: you upload the video, provide the YouTube stream key, and it runs the 24/7 broadcast with monitoring and automatic restart if the stream drops. It is YouTube-only, so it is not a replacement for a cloud OBS workflow that you need to control interactively.
Measure stability on either provider
Neither a product page nor a bandwidth allowance establishes end-to-end stability for your channel. Test the exact server, region, stream configuration and destination that you intend to use. YouTube recommends testing before going live and monitoring stream health; a short preview that looks fine at the start does not show how a long-running loop behaves through a sustained session.
Use a representative section of the actual video, including its busiest motion and audio. YouTube’s settings page supports H.264, H.265 and AV1, RTMP/RTMPS, frame rates up to 60fps, and constant bitrate (CBR). For H.264 at 4K60, it recommends 35 Mbps; the AV1/H.265 columns list 10 Mbps minimum and 40 Mbps maximum. Follow the page’s two-second keyframe recommendation and do not exceed four seconds. These are YouTube’s encoder settings, not evidence that either provider can sustain a particular stream from every plan.
Watch YouTube stream health during the test and note interruptions, bitrate behaviour and any encoder warnings. Check whether the stream reconnects cleanly if you deliberately test a restart, and whether the loop resumes as intended. Keep the observations with the plan name and region, since a result without those details is difficult to reproduce. Do not turn one successful run into a guarantee of overnight or month-long reliability.
If the test reveals failures, change one factor at a time: region, server family, output bitrate, encoding approach or route. That makes the result more informative than switching providers and settings together. Keep a fallback plan for the channel itself, too. YouTube maintenance can interrupt a broadcast independently of the cloud host; the checklist for avoiding interruptions during YouTube maintenance can help you think through that separate failure mode.
Make the decision with a repeatable comparison
Put the candidates side by side using the same source file, codec, bitrate, stream key destination and test duration. Record the plan and location, then capture what the provider lists for price, outbound transfer and excess terms on the date you checked. If one candidate is more attractive on the monthly fee but its expected traffic cost is unclear, mark that uncertainty instead of declaring it cheaper.
For a prepared video, first test a relay-style workload if it satisfies your channel’s needs. Only include server-side encoding in the comparison if your workflow requires it, and then test the exact encode settings and hardware rather than projecting from an instance label. This keeps the question of compute capacity from obscuring the simpler issue of delivering an already encoded stream.
A sustained test will not prove future uptime, but it can expose an unsuitable route, a misconfigured stream or a transfer assumption before the channel depends on it overnight. If neither candidate has clear current traffic terms for the region you need, resolve that before committing. The defensible decision is the one whose workload, price basis, transfer estimate and observed test result you can explain, not the provider name that sounds more familiar.
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 or Hetzner better for a 4K60 YouTube loop?
There is no documented universal winner. For a pre-encoded loop, compare the exact plan price, regional outbound allowance and excess terms, then test the stream from the chosen location. The test is evidence about that setup, not a guarantee of future reliability.
How much traffic does a continuous 35 Mbps stream use?
At a constant 35 Mbps, the video data is approximately 11.34 decimal TB over 30 days. This is a calculation based on the bitrate and time, not a provider quota, and real transfer also depends on audio, overhead, bitrate variation and uptime. Compare it with the precise outbound allowance and excess policy for the plan and location.
Can a cloud server encode a 4K60 stream?
That depends on the workload and the exact CPU or GPU configuration, and the available documentation does not establish a universally suitable machine. A relay of an already encoded file is different from decoding, rendering and re-encoding at 4K60. Benchmark the intended configuration with representative content before relying on it.
Does Vultr’s OBS deployment prove it can handle 4K60?
No. Vultr documents a Broadcaster deployment with OBS and GPU integration, but that does not establish that a particular plan will encode a 4K60 stream reliably. Confirm the required resources for your workflow and test the output and YouTube stream health.