If your PC sends a live feed directly to YouTube, compare its electricity use with your local electricity rate; do not add cloud viewer-delivery egress charges to that setup. Egress can apply when you operate cloud services that distribute the stream to viewers, which is a different architecture.
To estimate the PC cost, measure its average wall draw and use the formula: watts ÷ 1,000 × hours running × your price per kWh. Bitrate helps estimate how much data the PC sends to YouTube, but it does not tell you the PC’s power draw or create a cloud egress bill by itself.
YouTube ingest is not cloud viewer delivery
A direct PC stream has two relevant sides. Your encoder sends a live feed over your internet connection to YouTube’s ingest system; YouTube then processes the stream for its viewers. You are not serving each viewer’s copy from a cloud account you operate, so cloud delivery egress is not a line item to assign to the direct PC-to-YouTube path.
YouTube’s live encoder guidance describes sending an encoder stream to YouTube and provides recommended ingest settings. It also explains that YouTube transcodes the live stream into formats for viewers. That distinction is the essential accounting point: creator upload traffic and platform viewer distribution are not the same traffic or bill.
It is easy to see a large annual data figure and assume that it must be a cloud bandwidth charge. It is not, if the data is simply the PC’s upload to YouTube. Your internet plan may have its own terms or data allowance, so check your provider, but do not relabel YouTube ingest as cloud egress.
Cloud egress generally refers to data leaving a cloud service for an external destination, such as viewers receiving a stream through a creator-operated delivery stack. The exact charge depends on the services and provider terms involved. Passing through the public internet does not by itself mean that you have rented a cloud delivery service.
What the PC sends when it is live
Streaming software encodes the picture and sound into a continuous feed and sends it to YouTube. For a fixed bitrate, a longer broadcast means more uploaded data. YouTube recommends different ingest bitrates by codec, resolution and frame rate; for example, its H.264 guidance lists 8 Mbps for 720p60, 14 Mbps for 1080p30 and 17 Mbps for 1080p60. Those are recommended stream settings, not estimates of PC electricity consumption.
A rough data estimate in decimal gigabytes is:
GB sent ≈ bitrate in Mbps × 0.45 × hours
For a stream that runs all year, 365 days is 8,760 hours, so the calculation is approximately bitrate × 10,800 GB. At a steady 6 Mbps, that comes to about 64.8 TB in a year; at 14 Mbps, about 151.2 TB. These are estimates of data sent to YouTube, before protocol overhead or downtime. They are not cloud egress charges for a direct stream.
Bitrate does not reveal how hard your encoder works or what the computer draws at the wall. Hardware encoding, software encoding, the particular CPU or GPU, other processes, the display and peripherals, and power-management settings can all affect the measured draw. A PC may use similar power at different bitrates, or its power use may shift as the workload changes. Measure the complete setup rather than converting Mbps into watts.
If you are deciding how to send a continuous video file, the practical choices and trade-offs are covered in this guide to looping a long video without re-encoding. It can help you identify what work the PC is doing, but the stream still needs a stable path to YouTube.
When cloud egress can apply
Cloud egress belongs in the comparison when the creator’s own cloud architecture sends viewer traffic out of a cloud service. For instance, a setup might encode or package a feed in the cloud, maintain an origin, then use a delivery service to distribute copies to viewers. In that case, the bill may include compute, storage, data processing and delivery charges. Which charges apply depends on the chosen components and the way viewers receive the stream.
Amazon Web Services provides a live-streaming deployment example that models this kind of separate architecture. Its illustrative one-hour event for about 1,000 viewers totals $69.74 under its stated assumptions, including $67.24 for CloudFront distribution. AWS says the example assumes viewers consume the highest bitrate. It includes cloud encoding, packaging and viewer traffic, with U.S. East pricing; it is not a quote for every AWS deployment and is not a bill estimate for a PC sending directly to YouTube.
The distinction is not “internet stream versus no internet stream”. It is whether your account is paying a cloud provider to send viewer copies from its services. YouTube handles the viewer delivery for a direct ingest stream. If you instead self-host a stream or put a cloud delivery stack in front of an origin you control, then examine the provider’s current pricing and your own architecture before forecasting egress.
There can also be a hybrid arrangement: a PC sends to a cloud encoder or origin, and that cloud setup distributes the output to viewers. In that case, count the relevant cloud charges for the leg that leaves the cloud service, rather than charging all data movement to the PC or assuming every byte has the same price. Label the path and services in your spreadsheet so an upload figure is not mistaken for a distribution bill.
Calculate the PC’s electricity cost
The basic formula uses average wall power, total run time and the applicable electricity price:
Cost = average watts ÷ 1,000 × operating hours × price per kWh
Divide watts by 1,000 to express the draw in kilowatts, multiply by hours to get kilowatt-hours, then multiply by the rate on your electricity bill. If your tariff has time-of-day rates or other variable components, use a rate that reasonably represents the extra consumption over the period. Your bill’s average total cost may not be the same as the marginal cost of using one more unit of electricity.
For a 24/7 channel, decide first whether you want a monthly or annual estimate. A month is not always the same number of hours, so use the actual period or state a simplifying assumption. For a full year, 24 hours × 365 days gives 8,760 operating hours. Multiply that by the measured kilowatts and then the local rate. If the PC is off for maintenance or has interruptions, use the actual hours rather than assuming every hour was streamed.
Measure at the wall with the stream running under representative conditions. Include the equipment whose electricity you are trying to compare: for example, the PC and any display or peripherals that remain powered for the broadcast. A plug-in electricity monitor can be a measurement aid, but check that any device you choose is suitable for your outlet and equipment; the point is to measure, not to assume a universal wattage.
The U.S. Energy Information Administration’s electricity price explainer notes that prices vary with location and other factors. Its U.S. data is useful for an illustration, not a substitute for your own rate. If you are in India or elsewhere, use the rate and billing structure applicable to your premises, which may differ by state, utility, consumer category and tariff.
A worked example, with assumptions stated
Suppose a measured PC setup averages 100 W at the wall while running the channel. This is an illustrative assumption, not a claim that 100 W is typical for a streaming PC. At 24 hours a day for 365 days, the energy calculation is 100 ÷ 1,000 × 8,760 = 876 kWh.
For a comparable example rate, the U.S. Energy Information Administration reports a 2025 average residential price of 17.30 cents per kWh. At that rate, the calculation is 876 × $0.173, or $151.55 for the year. That figure is arithmetic using a stated wattage, full-year operating time and historical U.S. residential average; it is not a forecast of your bill. The EIA also reports variation across locations, so use your own price when making a decision.
To see how a different measured draw affects the result, keep the rate and period fixed and change only the watts. A lower average draw yields fewer kWh; a higher draw yields more. You can enter your own measured watts and price in this small comparison:
| Input | Illustrative value | What to substitute |
|---|---|---|
| Average wall draw | 100 W | Your measured average while the channel runs |
| Annual operating time | 8,760 hours | Actual hours in the comparison period |
| Electricity price | $0.173/kWh | Your applicable marginal rate |
| Annual energy | 876 kWh | Recalculate from watts and hours |
| Annual electricity cost | $151.55 | Recalculate using your rate |
The example makes no allowance for a second PC, router, lighting or other household equipment unless included in the measured draw. It also does not include network service charges or any cloud services. This separation is deliberate: an electricity estimate should answer what the equipment consumes, while any other costs should be listed by their actual source.
Other costs to include in a fair comparison
The PC’s electricity is only one operating cost. For a direct PC setup, consider whether your existing broadband plan has restrictions or charges that matter, whether the PC must be replaced or repaired, and whether you need backup power or internet access. Do not assume an additional broadband fee just because a stream uses data; check the terms of the service you already pay for.
There is also a time and reliability trade-off. A PC-based channel needs a computer that stays on, a working encoder, a network connection and someone able to respond when a component stops. If you rely on a display or other peripherals for monitoring, include their consumption if they remain on. For practical options on monitoring a continuously running machine, see how to monitor an always-on YouTube stream on an Azure VM; the monitoring lessons are useful even when your own source is a PC.
A cloud-delivery comparison needs a different cost inventory. List cloud compute or encoding, storage, packaging, origin and viewer delivery only where those services are actually present. Viewer count, viewing duration and delivered bitrate can influence distribution volume, while provider-specific pricing and free allowances may alter the bill. Verify current terms for the exact services and region rather than applying a headline example to a different design.
You may also be comparing architectures for a channel that plays recorded material rather than a live camera feed. The VLC repeating-video guide for YouTube Live in India describes a direct computer workflow. The mini PC versus VPS comparison for a 24/7 YouTube channel in India can help frame the equipment-versus-hosted-compute question. In either case, keep electricity, cloud compute and viewer-delivery egress in distinct rows.
Choose the architecture before comparing costs
Start with a simple diagram: what device creates or plays the content, where it sends the ingest, and what system serves copies to viewers? If the path is PC → YouTube ingest → YouTube viewers, the comparison is PC electricity, any relevant internet-plan costs, and the other equipment or operational costs you choose to include. Do not add creator-side cloud egress for viewer delivery to that path.
If the path includes cloud services operated by you, identify each stage and traffic direction. An encoder might receive a feed, a packaging service might create formats, and a delivery service might send the result to viewers. Then estimate data per stage using that service’s billing model and current rates. The AWS example is useful to understand how distribution can dominate an architecture-specific event estimate, but it should not be copied into a direct YouTube ingest calculation.
For a fair comparison, keep the time horizon consistent, such as one month or one year. Use measured PC wall power, not a guess derived from bitrate. Use your actual electricity price, not a national average unless you clearly label it as a placeholder. On the cloud side, state whether the cost includes encoding, storage and viewer distribution, and use the provider’s current calculator or pricing documentation for the exact design.
Finally, account for the value you place on hands-on operation. A PC gives you local control and may be sensible when it is already available and you can tolerate keeping it running. Hosted workflows can reduce the need to keep your own computer on, but they introduce service charges and dependencies that need their own scrutiny. For a file-based channel where the specific burden is keeping a home PC running and recovering a dropped broadcast, StreamNeo addresses that operational task: you upload a video, provide your YouTube stream key, and the stream runs without your computer switched on. It is YouTube-only, so it does not replace a cloud architecture you need for other delivery destinations.
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 YouTube charge me cloud egress for a PC stream?
Not as creator-run cloud viewer-delivery egress when your PC sends the live feed directly to YouTube. YouTube receives the ingest and handles processing for its viewers; check your internet provider’s terms separately for any data limits or charges.
How much does it cost to leave my PC streaming 24/7?
There is no single reliable amount without measuring the PC’s average wall draw and applying your electricity price. Multiply watts divided by 1,000 by the hours running and by your price per kWh; use the actual hours if the channel is not running continuously.
How much data does a 24/7 stream use?
A rough estimate in decimal GB is bitrate in Mbps × 0.45 × hours. Over a full year, a steady 6 Mbps feed sends about 64.8 TB to YouTube before overhead or downtime, but that upload volume alone is not a cloud egress bill.
When should I include cloud egress in the calculation?
Include it when your own cloud services send the stream out to viewers, such as through a cloud delivery service in a creator-operated distribution architecture. Identify the services and traffic path first, then use their current pricing; a direct PC-to-YouTube stream is not that architecture.