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How to Run a 4K 60fps YouTube Live Loop on an AWS GPU Instance

A practical guide to looping prerecorded 4K60 video from an AWS GPU instance to YouTube Live with FFmpeg, including YouTube settings, instance choices, testing, and failure recovery.
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You can loop a prerecorded video on an AWS GPU instance and send it to YouTube Live with FFmpeg. The essential pieces are an input loop (-stream_loop -1), real-time pacing (-re), an encoder and bitrate that meet YouTube’s current 4K60 guidance, and a YouTube RTMPS ingest URL and stream key. AWS’s published loop example is for IVS—not a ready-made YouTube command—so configure and test the YouTube output before relying on it unattended.

What you need before you start

  • An AWS instance with a video-encoding path suitable for your chosen codec. A GPU alone does not guarantee that a particular instance size, driver, or FFmpeg build can sustain your intended output.
  • A prerecorded video available to the instance, either on its disk or through a dependable input path.
  • A YouTube Live stream configured in Live Control Room, with its ingest endpoint and stream key.
  • FFmpeg built with the encoder you intend to use, plus the appropriate GPU driver and libraries if you are using hardware encoding.
  • A way to monitor FFmpeg, YouTube stream health, instance availability, logs, and disk usage during a trial.

For GPU instances, AWS documents driver installation options and preinstalled AMIs; the applicable path depends on instance type. Check the current AWS NVIDIA driver guidance and verify that your FFmpeg build can see the intended encoder before starting the stream.

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Set YouTube’s 4K60 output parameters

YouTube’s encoder guidance, accessed October 3, 2026, accepts H.264, H.265 (HEVC), or AV1 at up to 60 fps. For 4K/2160p at 60 fps, its recommended bitrate depends on the codec. Use constant bitrate (CBR), progressive video, and a short keyframe interval.

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Output setting YouTube guidance for 4K/2160p at 60 fps
Resolution and frame rate 3840 × 2160 progressive, up to 60 fps
H.264 bitrate 50 Mbps recommended; 14 Mbps listed minimum
H.265 (HEVC) or AV1 bitrate 35 Mbps recommended; 10 Mbps listed minimum
Rate control CBR
Keyframes Every 2 seconds recommended; do not exceed 4 seconds
Audio AAC or MP3; YouTube recommends 44.1 kHz for stereo and 128 kbps stereo in its advanced settings
Ingest RTMPS recommended

These are YouTube’s published recommendations, not a guarantee that a particular source or AWS instance will encode smoothly at those settings. Test the actual video and chosen encoder. YouTube says 4K streams do not offer its low-latency optimization option and use normal latency. See YouTube’s encoder settings and live ingest guidance and its stream health and troubleshooting guidance.

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Choose an AWS instance and encoding path

VT1 for video-transcoding workloads

AWS positions VT1 instances for video-transcoding workloads, including live streaming, and stated support for streams up to 4K UHD at 60 fps. Its August 3, 2023 announcement also claimed capacity for up to 64 simultaneous 1080p60 streams in real time. That is an AWS product claim, not independent validation of one 4K60 YouTube output or a specific always-on setup. The announcement named US East (N. Virginia), US West (Oregon), Europe (Ireland), and Asia Pacific (Tokyo); because that availability information is dated, check current regional availability before deployment. AWS says relevant Video SDK 3.0 changes apply to GStreamer, FFmpeg, and XMA. See the AWS VT1 announcement.

G6 with NVIDIA L4

AWS describes G6 instances as powered by NVIDIA L4 GPUs, listing two video encoders per L4 GPU, AV1 hardware encoding, and NVENC library support. That establishes available capabilities, not that every G6 size, AMI, driver, or software configuration will sustain a given 4K60 output. Confirm the selected instance’s current regional supply and that the installed driver and FFmpeg expose the encoder and codec you plan to use. See AWS accelerated computing instance guidance.

Benchmark results are not a sizing guarantee

AWS’s January 4, 2024 FFmpeg benchmark used three 4K60 input clips—still, medium-motion, and high-motion—but its described live-stream scenario encoded five lower-resolution outputs: 1080p, 720p, 480p, 360p, and 160p. It reported up to four such parallel encodings on the tested G4dn configuration. That result is about multi-rendition transcoding, not a direct measurement of one 4K60 YouTube output, and it does not identify the cheapest current instance for this task. AWS recommends testing your own workload. Read the AWS FFmpeg and NVIDIA GPU benchmark.

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Configure YouTube Live and protect the stream key

  1. In YouTube Studio, open Live Control Room and create or select the live stream. Configure it for the intended 4K60 broadcast and obtain the matching ingest endpoint and stream key. YouTube’s interface and available options can change, so use the current controls shown for your account.
  2. Use the endpoint and stream key belonging to that stream in your FFmpeg publishing command. YouTube recommends RTMPS, a secure extension of RTMP.
  3. Keep the stream key private. Do not commit it to a public repository, expose it in a shared script, or print it in logs. Use an appropriate secret-management method and restrict access to the instance and files that contain it.
  4. Before going live, confirm the stream is configured for the selected codec, resolution, frame rate, and audio settings, then use YouTube’s preview and stream-health feedback during a controlled test.

Build and test the FFmpeg loop

The core loop is straightforward: -stream_loop -1 repeats the input indefinitely, while -re reads it at its native playback rate instead of sending the file as fast as possible. AWS documents those flags in an FFmpeg example that publishes a recorded MP4 to IVS. Its example targets 30 fps and 3 Mbps, so it is an illustration of looping—not a YouTube 4K60 command. Use YouTube’s current ingest requirements and the encoder supported by your instance to assemble the output. See AWS’s FFmpeg recorded-video loop example for IVS.

  1. Place the source file on the instance or verify that the remote input path can deliver it continuously. Check that the file decodes and includes the audio track you expect.
  2. Check the FFmpeg build and driver. Confirm the selected encoder is available and that it can produce the chosen codec, 3840 × 2160 progressive video, and 60 fps on the selected instance.
  3. Construct the command around the input with -re -stream_loop -1 -i input.mp4. Set the output video encoder, CBR rate control, codec-appropriate bitrate, 60 fps output, and a two-second keyframe interval. Configure compatible audio, then send the output to the YouTube RTMPS endpoint with the corresponding stream key.
  4. Supply secrets without embedding them in a public script or allowing them into shell history or diagnostic logs. The exact secure method depends on your deployment; AWS’s example shows where publishing credentials are used but does not prescribe a secret-management design.
  5. Start with a controlled YouTube stream and check both the FFmpeg output and YouTube’s preview and stream-health messages. Confirm the picture is actually 4K60, audio is present and in sync, and motion remains smooth.
  6. Let the input complete at least one full cycle. Confirm it restarts from the beginning without a gap or process exit, and observe the system under representative motion and audio before treating it as an unattended loop.

Do not copy the IVS example’s destination or its 30 fps and 3 Mbps values into a YouTube 4K60 setup. The source documentation explicitly describes those as values to tune for production, and they do not match YouTube’s listed 4K60 recommendations.

Make the loop recoverable and observable

An infinite input loop does not, by itself, restart FFmpeg after a process crash, recover an unavailable instance, or guarantee YouTube will accept a reconnect. The reviewed AWS and YouTube guidance does not certify a turnkey fault-tolerant 24/7 design. Treat restart behavior as part of your own deployment, test it before unattended use, and monitor the actual service rather than assuming the loop flag provides resilience.

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  • Process and reconnect: test what happens if FFmpeg exits, the network is interrupted, or YouTube drops the stream. Decide how your host or service supervisor should detect and restart the process, and verify the behavior with a controlled interruption.
  • Stream health: monitor YouTube’s live preview, health messages, and whether the stream remains live after a reconnect.
  • Logs: retain enough FFmpeg and host logs to diagnose encoder errors, input failures, and restarts, while keeping the stream key out of the logs.
  • Storage: check free disk space and make sure logs or temporary files cannot fill the volume over time.
  • Availability: check instance health, current regional capacity, and the reliability of the source-video path. Plan what should happen when the instance or input becomes unavailable.
  • Content rights and channel rules: make sure you have rights to stream the video and its music, and review YouTube’s current copyright and monetization policies. Repeating a file does not create rights to it or ensure that a channel meets YouTube’s reused-content requirements.
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Cost and operational trade-offs

AWS does not establish a universal instance size or current price for this workload in the cited material. Calculate the full cost for your chosen region and design: instance runtime, storage, data transfer, and any supporting services. A short successful encode test is useful for sizing, but it does not prove 24/7 availability or long-term stability. Include a representative motion source and the precise codec, filters, audio, and output settings you expect to use.

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VT1 is positioned specifically for video-transcoding workloads; G6 offers NVIDIA L4 capabilities including NVENC and AV1 hardware encoding. Compare candidates using actual encoder availability, sustained 4K60 output, regional availability, end-to-end cost, and tested restart and monitoring behavior—not a benchmark for a different resolution or output count.

Troubleshooting common failures

Symptom Likely cause What to check or change
YouTube does not receive the stream Wrong or mismatched ingest endpoint or stream key; incompatible output configuration Recheck the selected Live Control Room stream and its credentials, use its RTMPS endpoint, and inspect FFmpeg’s connection messages. Rotate an exposed key.
Stream health reports a bitrate or connection problem Unstable network path, insufficient sustained upload capacity, or a bitrate configuration that does not match the intended codec Check the instance’s actual outbound path and YouTube’s health feedback. Verify CBR and the applicable 4K60 recommendation; do not assume a successful connection proves sustained delivery.
FFmpeg cannot use the GPU encoder Missing or incompatible driver, FFmpeg build, or encoder library Verify the selected instance and driver path, then confirm the encoder is exposed by the installed FFmpeg build. Revisit AWS’s driver guidance for that instance type.
Output is not 4K60 or playback stutters Output settings do not match the source or target, or the instance cannot sustain the chosen encoding workload Inspect the actual output resolution and frame rate, encoder load, and YouTube preview. Test a representative high-motion clip; choose a supported encoder path or different instance if the workload cannot be sustained.
The video plays once and stops The input loop option is missing, misplaced, or the process exits after an input error Confirm -stream_loop -1 applies to the input and that -re paces playback. Check logs and let a test run pass the end of the file.
The stream ends after FFmpeg or the instance fails Input looping does not supervise the process or recover an unavailable host Test a process supervisor or other restart design, instance recovery plan, and YouTube reconnect behavior separately. Monitor each layer.
Video works but audio is missing or unsuitable Source audio, mapping, codec, sample rate, or channel configuration is incompatible or absent Inspect the source’s audio streams and output settings; use compatible AAC or MP3 audio and verify the preview and stream health with representative sound.

Or let it run in the cloud

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