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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →There is no single best Google Compute Engine machine type for every 24/7 YouTube stream. If your VM only relays an already encoded feed, a small E2 general-purpose instance is a sensible starting point to test—not a guaranteed minimum. If it continuously encodes or transcodes video, compare C-series performance-oriented machines with N2D, then size from measured CPU, memory, and network use. Google’s guidance covers these workload categories, but does not benchmark a specific YouTube setup.
First identify what the VM is doing
A stream that passes along video already encoded elsewhere is a different workload from one that encodes or transcodes video on the VM. The second task can require substantially different CPU capacity. Before choosing a machine, establish whether the VM processes video, what it processes, and how many simultaneous outputs it must produce.
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Machine types to compare
| Workload | Starting comparison | What the guidance supports—and does not |
|---|---|---|
| Relay or publish an already encoded feed without video processing | A small E2 general-purpose VM | Google positions E2 for lower-cost, modest workloads; treating it as a relay starting point is an inference, not a benchmark. No exact minimum machine type is established. |
| Continuous software encoding or transcoding | C-series performance types; compare N2D as well | Google lists media streaming and transcoding among C-series workload guidance, and separately describes N2D as suitable for video streaming. Neither establishes a winner for your specific stream. |
| You are not yet sure which family fits | Begin by comparing general-purpose options | Google recommends starting with general-purpose when the appropriate family is unclear. Collect real utilization and reliability data, then resize. |
These are workload-based starting points, not a promise that a particular VM will sustain a given resolution, codec, frame rate, or number of outputs. Google’s machine family guidance and general-purpose overview explain the intended use of the families; neither is a benchmark for a 24/7 YouTube relay.
How to size and validate the VM
- Write down the workload. Record whether the VM relays, encodes, or transcodes; the input and output formats; resolution, frame rate, bitrate, number of outputs, and whether processing is continuous. These details are necessary to interpret resource use.
- Choose a candidate family. For a relay-only workload, test a small E2. For sustained software video processing, compare C-series and N2D candidates rather than assuming one is best.
- Run the actual stream and measure. Check sustained CPU use and headroom, memory, network throughput, and reliability under the expected operating conditions. A short idle-period snapshot is not enough to establish 24/7 suitability.
- Check networking separately. Confirm the candidate’s network throughput limits and estimate outbound traffic. Required throughput and egress costs depend on the stream and traffic; no specific outbound bitrate is established for this use case.
- Resize based on observed results. If CPU stays constrained or the workload lacks headroom, compare a larger or different-family candidate. If the VM is lightly used, test whether a smaller option still meets the workload’s needs.
Google’s machine types documentation is the place to compare configurations and their characteristics. The exact choice also depends on regional availability and the requirements of your encoding software.
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Estimate the full 24/7 cost
Machine price alone is not the total. Google bills disk and network usage separately, and machine prices vary by configuration and region. Its general-purpose pricing page lists regional prices in USD and uses on-demand as the default consumption model. Check the live figures for your selected region and configuration at Compute Engine general-purpose machine pricing.
- Include the VM’s expected continuous runtime and any applicable discounts, but verify eligibility rather than assuming a 24/7 workload receives one.
- Add disk costs and expected network charges, including outbound traffic.
- Price the actual region, machine configuration, and usage pattern; the title alone does not supply enough information for a reliable total.
Google’s sustained-use discount and Always Free documentation describes an Always Free quota equivalent to the monthly hours of one e2-micro VM. Program eligibility and terms can change, so confirm the current conditions; do not assume that quota covers your streaming workload or its other charges.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Or let it run in the cloud
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