A published Google Cloud example for one NVIDIA L4 GPU works out to about $623.14 per 730-hour month on demand, or about $355.19 at the listed Spot rate. Those are compute-only estimates for a g2-standard-8 instance, not complete bills: VM instance pricing, disk and images, networking, and other deployment charges may be additional. A continuous 4K60 stream also sends a substantial amount of data, so egress pricing can materially change the total.
What the cloud GPU example costs
Google Cloud’s accelerator-optimized pricing page lists an on-demand rate of $0.853624312 per hour and a current Spot rate of $0.486565857 per hour for a g2-standard-8 with one NVIDIA L4 GPU. Multiplying each rate by an assumed 730 operating hours gives these illustrative monthly compute totals:
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| Billing option | Published hourly rate | 730-hour compute estimate | Continuity consideration |
|---|---|---|---|
| On demand | $0.853624312 | About $623.14 | Compute estimate only; continuous operation still depends on the full deployment and service configuration. |
| Spot | $0.486565857 | About $355.19 | Capacity and prices are not a reliable guarantee of uninterrupted service. |
These calculations use the listed hourly rates multiplied by 730; they are not provider quotes or results from a tested encoding workload. Google notes that its GPU pricing page does not cover disk and images, networking, sole-tenant nodes pricing, or VM instance pricing. For an actual budget, check the current Google Cloud pricing calculator and the rates for your chosen region and configuration.
Why the complete monthly bill can be higher
Full VM configuration and region
The GPU figure alone does not establish the total price of the machine. Confirm whether the price you are viewing includes the VM’s CPU and memory, then add storage and any image-related charges that apply. Region and configuration can also affect rates.
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Network capacity and outbound transfer
YouTube recommends an ingest bitrate of 35 Mbps for 4K/2160p at 60 fps using AV1 or H.265, or 50 Mbps using H.264. At those continuous bitrates, the rough outbound data volumes are 15.75 decimal GB per hour and 22.5 decimal GB per hour, respectively, before protocol overhead. These volumes are planning estimates, not a billable-transfer calculation: provider measurement and billing rules determine charges. Check both the VM’s actual egress limit and the applicable transfer price. Google’s G2 machine-series documentation provides machine-type-specific maximum egress information.
Runtime, interruptions, and resilience
A 24/7 channel assumes the instance runs continuously. Planned stops, restarts, maintenance, redundancy, or a failover design affect both the number of billed hours and whether the stream remains live. Spot pricing lowers the cited compute estimate, but should not be budgeted as guaranteed uninterrupted capacity.
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What YouTube requires for 4K60 ingest
YouTube’s encoder guidance supports RTMP/RTMPS and H.264, H.265 (HEVC), and AV1, with frame rates up to 60 fps. For a 4K60 stream, use the bitrate appropriate to the selected codec: 35 Mbps recommended for AV1 or H.265, and 50 Mbps for H.264. YouTube recommends a two-second keyframe interval and says it should not exceed four seconds. See YouTube’s live encoder settings, bitrates, and resolutions for the current settings guidance.
YouTube automatically transcodes a live stream into multiple output formats for viewers; the encoder’s ingest bitrate is not the bitrate every viewer must receive. YouTube’s 4K low-latency option is unavailable, so 4K streams use normal latency. A cloud GPU rate alone does not prove that a particular VM, encoder, or configuration can reliably sustain the intended output; that needs to be confirmed for the deployment.
How to build an honest budget
- Choose the region, machine, and billing mode. Compare the complete VM configuration, not just an accelerator line item. Decide whether Spot interruptions are acceptable or whether on-demand capacity is needed.
- Estimate operating hours. For a continuously running month, the illustrative calculation here uses 730 hours. Adjust for planned downtime, restarts, or failover capacity.
- Set the ingest bitrate from the codec. Use YouTube’s recommended 35 Mbps for AV1/H.265 or 50 Mbps for H.264 at 4K60 as the outbound-volume planning basis.
- Verify networking costs and limits. Check machine egress capacity and the provider’s outbound-transfer pricing for the relevant destination and billing terms.
- Add storage and other omitted items. Include disk, images, VM charges if not included, and any other components required by the deployment; use the provider’s calculator for the selected setup.
- Plan for service continuity. Decide how the channel behaves if the instance or stream stops, and account for any redundancy or recovery infrastructure in the budget.
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If maintaining a cloud GPU, encoder, networking budget, and recovery setup is more work than you want, StreamNeo is a YouTube-only cloud service for keeping uploaded videos live as a 24/7 stream. Upload a recording or build a playlist, add your YouTube stream key, and go live. Nothing has to stay running at home; it streams the uploaded video as made, up to 4K 60fps at one flat price per slot, and can automatically recover if YouTube drops the stream. The first day is free with no card. Monthly pricing is $9.99 per month. Start your free first day with StreamNeo.
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