For a 24/7 YouTube stream, compare Vultr Cloud Compute and AWS Lightsail using the same region, encoder workload and monthly outbound traffic estimate—not just the advertised instance price. The available evidence supports a clear look at Lightsail’s published bundles and transfer rules, but it does not establish current standard Vultr Cloud Compute pricing, included egress or overage terms, so there is no supported price winner here.
Start with your stream’s bitrate and the host’s job. Then check the current terms for the specific region and plan you might use; without those pieces, a numerical comparison would suggest more certainty than the evidence allows.
Define the workload before comparing hosts
A 24/7 channel may simply relay a finished video file, or it may run OBS with scenes, overlays, audio mixing and other sources. Those are different workloads. If your machine only sends a prepared file, the host needs to keep the stream running and deliver the encoded feed; it may not need to encode video continuously. If you compose or encode the stream on the host, CPU or GPU capability and memory matter as well as network transfer.
Write down the actual configuration you intend to run: resolution, frame rate, codec, bitrate, whether the feed is constant-bitrate, and whether you send one YouTube ingest feed or additional outputs. Include any work the host will perform beyond sending the video. For example, a looping devotional video already encoded on your computer is not the same job as a cloud OBS session combining a live camera, lyrics and music.
YouTube’s live encoder settings recommend RTMPS, constant bitrate (CBR) and a two-second keyframe interval, with a maximum interval of four seconds. Its bitrate recommendations depend on codec, resolution and frame rate. These are ingest recommendations, not a promise that a particular virtual machine can encode a given stream or that a stream will remain healthy without monitoring.
For H.264, YouTube lists 14 Mbps for 1080p at 30 fps and 17 Mbps for 1080p at 60 fps. The listed recommendation for 720p is 8 Mbps at either 30 or 60 fps. A different codec can call for a different bitrate: for 1080p, YouTube lists 10 Mbps for AV1 or H.265 at 30 fps and 12 Mbps at 60 fps. Use the row that matches your planned output rather than picking a bitrate because it happens to fit a provider’s transfer allowance.
A practical checklist is to note whether encoding occurs on the host, how the source will repeat, what happens after a reconnect, and whether an operator needs to change content remotely. For help with a fixed-order playlist, see how to make a YouTube 24/7 stream repeat a playlist in a fixed order. If you are considering a VPS workflow, how to upload new videos to a YouTube stream running on a VPS is relevant to the ongoing content task, not just initial setup.
Compare the same region and equivalent plans
A like-for-like comparison needs a region and a plan on each side. Start with the region closest to your operating needs: for an India-based creator, Mumbai may be a natural candidate to investigate, but the location should reflect the route to YouTube ingest and your operational preferences. Do not assume that a nearby data centre automatically gives a better stream; test the chosen route and inspect YouTube’s stream health.
Then record what each plan actually includes. For a host that will only relay a pre-encoded file, you may care more about transfer allocation, memory, disk space and recovery controls than encoding performance. For a host that encodes through OBS, compare the available CPU or GPU resources and memory too. A bundle with more resources is not automatically a better fit if its transfer terms or region do not suit the workload.
AWS publishes Linux/Unix public IPv4 Lightsail bundles with fixed vCPU, memory, SSD storage and transfer allowances. Its listed examples include a $5/month plan with 2 vCPUs, 0.5 GB RAM, 20 GB storage and 1 TB transfer, and a $24/month plan with 2 vCPUs, 4 GB RAM, 80 GB storage and 4 TB transfer. Those are AWS’s published bundle figures, as listed on AWS’s site in September 2026; they are not a test result or a recommendation that either plan can encode your stream.
For these published examples, you can compare the bundle dimensions directly, but the monthly price alone does not settle the question. Check the exact region, operating system and public IPv4 option, and confirm what the current pricing page says when you are ready to buy. A plan’s CPU count is not enough to predict OBS performance, and an allowance is not enough to establish whether the stream will incur transfer charges.
For Vultr, the official material identified for this comparison describes a Broadcaster workflow on a cloud GPU instance, but does not provide the current standard Cloud Compute price, included transfer allowance or overage terms needed to fill equivalent columns. Do not substitute a Broadcaster GPU instance for an ordinary Cloud Compute plan without saying so: the product and workload may differ. The evidence is useful to show that Vultr documents a cloud-hosted streaming workflow, not to complete a numeric Cloud Compute price comparison.
A comparison sheet should therefore keep unknowns visible rather than leave cells looking like zeroes:
| Comparison item | AWS Lightsail | Vultr Cloud Compute |
|---|---|---|
| Region to compare | Select the actual region; check the regional bundle and allowance | Select the same intended region; verify the available plan and terms |
| Compute and storage | AWS publishes fixed bundle specifications | Confirm the current Cloud Compute specification for the chosen plan |
| Included transfer | Published allowance varies by region; see the transfer rules below | Not established by the Vultr material cited here; verify current plan terms |
| Outbound overage | AWS documents regional outbound overage rates | Not established by the Vultr material cited here; verify before estimating cost |
| Streaming workflow evidence | Bundle specifications do not prove encoding capacity | Vultr documents Broadcaster on a cloud GPU instance, not standard-plan economics |
Do not treat missing Vultr values as an advantage or disadvantage. Until you verify them, the honest result is an incomplete comparison, not a price verdict.
Estimate outbound traffic from bitrate
Transfer is a major part of the cost calculation for a continuous stream. A transparent estimate starts with bitrate and operating time, not a host’s headline monthly price. Convert megabits per second to megabytes per second by dividing by eight, then multiply by the seconds in the operating period. Because the source bitrate may not capture all protocol overhead, reconnects, secondary outputs or other traffic, treat the result as a planning estimate and add a margin appropriate to your setup.
For a simple monthly illustration, assume the stream runs continuously for 30 days at a steady 8 Mbps. That is 1 megabyte per second before overhead. Multiplying by 60 seconds, 60 minutes and 24 hours gives 86,400 megabytes per day; across 30 days the calculation is about 2,592,000 megabytes, or roughly 2,592 decimal gigabytes. This is the writer’s arithmetic from the stated bitrate and uptime, not a provider-published statistic or a measured bill. A binary GiB conversion would display a different number because the units differ.
The same calculation at 14 Mbps is 1.75 megabytes per second before overhead. Over that same assumed 30-day continuous period it works out to about 4,536 decimal gigabytes. At 17 Mbps, it is about 5,508 decimal gigabytes. These figures are not a claim about what a particular server will bill: they make the assumption visible so you can compare your own intended output to the provider’s allowance and billing units.
In practice, take your chosen YouTube encoder bitrate and calculate its continuous monthly traffic using the same method. Then make clear whether you are counting only the outgoing ingest feed. A second platform output, cloud backups, software downloads, monitoring traffic or remote access can change the total. Audio is ordinarily part of the encoded stream bitrate, but check whether your chosen bitrate describes the full encoded output and leave room for overhead rather than treating an arithmetic estimate as an exact invoice forecast.
This calculation is especially useful when a bundle appears inexpensive but has a transfer ceiling below the stream’s expected traffic. If your estimate exceeds the allowance, the next step is to check the region-specific outbound rate and calculate the possible overage—not assume that all transfer is free, or that a displayed allowance applies unchanged everywhere. If you run a stream from a local machine instead, the fanless PC electricity-cost comparison helps frame a different cost component: electricity rather than cloud egress.
Read the Lightsail bundle and transfer rules together
AWS describes Lightsail instances as virtual private servers with fixed amounts of RAM, vCPU, SSD storage and transfer allowance. The bundle table is useful because those items are presented together. But the transfer number is not a simple outbound-only cap: AWS says both inbound and outbound data count against the plan allowance, while only outbound traffic beyond the allowance is charged as overage.
The published Linux/Unix public IPv4 examples include 1 TB transfer with the $5/month bundle, 2 TB with the $7/month bundle, 3 TB with the $12/month bundle, and 4 TB with the $24/month bundle. AWS lists these specifications and prices on its site in September 2026. Confirm the current table before purchasing, since a published value is a dated reference rather than a promise that it will remain unchanged.
There is an important regional qualification. AWS documents half the general-table transfer allowance in Mumbai, Sydney, Jakarta, Malaysia, Hong Kong and São Paulo. That means you should not compare a general allowance against a stream in one of those regions without applying the regional rule. For example, a plan shown with a 1 TB general allowance would have a smaller allowance under the documented half-allowance rule in Mumbai. That does not by itself tell you the bill: your total counted transfer, outbound portion and current regional overage rate still matter.
AWS also says the outbound overage rate varies by region. The correct comparison is therefore not “the plan includes X, so the stream is covered”. Work out your expected outbound traffic, account for inbound traffic against the allowance, check the region’s actual allowance, and then consult the applicable current outbound overage rate. If you expect to exceed the allowance, record the possible excess and rate as a separate line in your cost comparison.
Before acting, open AWS’s Lightsail pricing page and its current documentation for transfer charges. Check the exact operating system and IPv4 selection as well as the region. A plan can fit a relay workload differently from an OBS encoding workload, and the included storage also needs to accommodate the operating system, application and any local media you plan to keep on the instance.
Verify Vultr terms and current pricing
The Vultr evidence available for this comparison has a narrower scope than the Lightsail bundle documentation. Vultr’s Broadcaster guide describes deploying OBS through a marketplace app on a cloud GPU instance, accessing it through a browser and configuring it to stream to platforms including YouTube. That demonstrates a documented hosted streaming workflow. It does not establish current standard Cloud Compute prices, standard-plan egress allowances or overage charges.
Vultr also documents a Broadcaster-to-Owncast workflow. That is another example of a streaming use case, but it is not a benchmark of 24/7 YouTube reliability, not proof of compatibility for every configuration, and not a substitute for current Cloud Compute billing terms. Keep the product distinction clear if you investigate GPU Broadcaster pricing: it may answer a different question from whether a standard Cloud Compute instance can handle your chosen pre-encoded feed.
Before choosing Vultr, find the current Cloud Compute listing and the full network-transfer terms for the specific region and plan. Confirm whether the listed transfer is included, how usage is counted, what happens above any allowance, and whether an outbound overage rate applies. Then record the source and the date you checked it. Do not infer transfer terms from the Broadcaster walkthrough, from another Vultr product, or from a plan page for a different region.
This is the key limitation of the available comparison: the AWS side has published bundle and transfer-rule details to compare, while the cited Vultr material supports a streaming workflow but leaves the standard-plan economics unresolved. A fair cost recommendation requires the missing Vultr figures for the same region and a traffic estimate based on your own stream. Until you have both, you can compare the questions to ask, but you cannot responsibly announce which provider costs less.
Test the selected host before relying on it
A cloud plan that looks suitable on paper still needs a test with your actual file, encoder settings and route to YouTube. Begin with an unlisted or otherwise appropriate test stream, use the planned resolution, codec and bitrate, and watch YouTube Studio’s stream health rather than assuming a successful connection proves a stable feed. YouTube’s guidance advises testing and monitoring stream health; follow its current instructions for the ingest configuration you choose.
For a fixed-file channel, verify that the playback reaches the end and restarts in the intended order. Check what happens after the host or streaming application reconnects: does it resume the correct content, reconnect to the intended YouTube event, and make the stream status visible to you? Do not assume a process will restart simply because it was running during setup. Make recovery behaviour part of the test and write down how you would check it when away from the machine.
For OBS-based production, test the heaviest scene and overlays you intend to keep, not just a static screen. If the host performs encoding, watch CPU or GPU load and memory use while the stream runs. If a pre-encoded file is merely being sent, test that relay path instead of paying for encoding capacity you do not use. Neither a product guide nor an instance specification can replace this workload check.
Also consider the cost of operating the channel yourself. A VPS may suit you if you want direct control over the operating system, applications and recovery process and are comfortable maintaining them. That control comes with setup and ongoing checks. If the difficult part is keeping a prepared file on air while your own computer is off, StreamNeo removes that particular burden by taking the uploaded file and YouTube stream key and running the broadcast without a computer you have to leave on. It is YouTube-only, so it is not a fit if you need direct control of a general-purpose host or outputs to other platforms.
If you are evaluating a self-managed computer as another route, use signal-quality checks for a YouTube stream on Wi-Fi to think through network stability; a cloud host avoids your home Wi-Fi path but does not remove the need to test the host-to-YouTube path. Keep a small operating record with the chosen region, plan, bitrate, transfer estimate, restart procedure and date you last checked the billing terms. That makes a later plan change easier to assess.
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 cheaper than AWS Lightsail for a 24/7 YouTube stream?
The evidence available here does not establish that. AWS publishes bundle and transfer rules, while the cited Vultr Broadcaster material does not settle current standard Cloud Compute pricing, included egress or overage terms. Compare current figures for the same region against your calculated traffic before drawing a cost conclusion.
How much transfer does a continuous YouTube stream use?
It depends on the bitrate and how long the stream runs. As a planning example, a continuous 8 Mbps feed over an assumed 30-day month works out to roughly 2,592 decimal GB before overhead; calculate your own chosen bitrate and add a suitable margin. That is arithmetic, not a provider’s allowance or a forecast of an exact bill.
Does a Lightsail transfer allowance cover a 24/7 stream?
Not necessarily. AWS counts inbound and outbound data towards the allowance, documents lower allowances in certain regions, and charges overage only for excess outbound transfer at rates that vary by region. Compare the relevant regional allowance and rate with your estimated traffic before selecting a bundle.
Can you run OBS on Vultr and stream to YouTube?
Vultr documents an OBS/Broadcaster workflow on a cloud GPU instance, including configuring a stream to platforms such as YouTube. That is evidence of a documented workflow, not a guarantee for every OBS setup or a statement about standard Cloud Compute economics. Test your intended configuration and check the current product terms.