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On a Contabo Linux VPS, open an SSH session and run top while the YouTube loop is active. Check the system-wide CPU and memory summaries as well as the row for the process running the loop. For a more visual, interactive view, use htop. There is no established CPU or RAM percentage that defines a healthy loop: interpret readings against your VPS allocation and the work your playback or FFmpeg command is doing.
Monitor the VPS while the loop is running
- Connect over SSH. Use the server address and login configured for your VPS. The required credentials and SSH client depend on your account and operating system.
- Start the live system view. Run
top. Contabo describes it as a real-time process monitor with system-wide statistics and process rows. Inspect the CPU and memory summaries, then look at the processes using the most resources. Avoid drawing conclusions from a single momentary reading. - Locate the loop process. Find the process responsible for playback or FFmpeg work. Compare its CPU and memory readings with the system totals. Other services may also be using resources, so a busy process is not necessarily the only contributor.
- Compare operating conditions. Note readings during the loop and, if practical, compare them with a period when it is not running. This can help identify a difference, but it is not a controlled benchmark. Do not stop or reprioritize services just to test a guess.
- Compare with your VPS allocation. Check the resources listed for your specific Contabo plan. Its VPS documentation describes shared vCPUs and fixed RAM allocations; plan specifications can change, so use the current details for your instance rather than assuming a plan name guarantees a particular load capacity.
Use htop for a more visual process view
htop offers an interactive alternative to top. Contabo’s Linux VPS guidance describes features including per-core CPU bars, memory and swap indicators, sorting, and process search or tree views. If it is not installed, the Contabo guide gives these installation examples:
- Ubuntu or Debian:
sudo apt install htop - CentOS or RHEL-family distributions:
sudo yum install htoporsudo dnf install htop
Confirm your distribution before choosing a package command. After opening htop, use its process list to locate the loop and inspect its resource readings alongside the system indicators.
Why the playback command affects CPU demand
A “YouTube loop” does not describe one fixed workload. A process that copies an already encoded stream has different work to do from one that decodes video, applies filters or scaling, or encodes it again. The FFmpeg documentation defines stream copy as copying input packets without decoding, filtering, or encoding. Because filters operate on decoded frames, stream copy cannot apply them. See the FFmpeg documentation for the distinction.
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KAMRUI Pinova P2 Mini PC, AMD Ryzen 7330U(4 Cores, 8 Threads, Up to 4.3GHz), 16GB RAM 256GB SSD, Zen3 Architecture 7nm Processor, 8MB L3 Smart Cache Mini Computers,Triple 4K Display Home/Business
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Consequently, a CPU spike should not be attributed to encoding until you have checked the actual command and pipeline. Neither the process type nor the fact that a stream is looping establishes a particular CPU percentage. The same caution applies to memory: inspect the process and overall system readings on your own instance rather than relying on a universal target.
Check Contabo’s persistent monitoring option
Contabo support describes a Monitoring add-on for server resources, bandwidth, and downtime. Availability may depend on your server and account, so confirm that it is offered to you before relying on it. It can be an option to consider if you need monitoring beyond an SSH terminal session; no pricing or plan availability is established here. See Contabo support for support information.
Rank #2
Getorli Mini PC AMD Ryzen 5 3500U (4C/8T, Max 3.7GHz) Small Desktop Computer 16GB DDR4 RAM 512GB NVMe SSD Budget Micro Compact PCs 4K HD Dual HDMI WiFi 6 BT5.3 Prebuilt OS-Home Office Gaming Streaming
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Interpreting the numbers without a misleading threshold
- Look at trends, not one sample. A live process view is useful for observing current activity, but a brief snapshot cannot establish typical load.
- Separate process use from system use. The loop process row helps attribute activity; the overall summaries show what the whole VPS is using.
- Use the instance’s own allocation. Contabo offers different VPS resource allocations. For example, its Cloud VPS 20 documentation lists 6 vCPUs, 12 GB RAM, and 100 GB NVMe, with the page last updated in June 2026. That is a published plan example, not a recommendation or measured capacity for a YouTube loop; check the current plan details for your own server.
- Do not apply an unsupported cutoff. The available product and software documentation does not establish a universal “too high” CPU or RAM percentage for this workload.
Or let it run in the cloud
If you do not want a home computer or VPS to run the loop, StreamNeo keeps a YouTube channel live from uploaded videos: upload a recording or build a playlist, add your YouTube stream key once, and go live. It runs in the cloud, so nothing has to stay on at home. Your video streams as uploaded, up to 4K 60fps, at one flat price per slot, and StreamNeo automatically recovers if YouTube drops the stream. The first day is free with no card; the monthly option is $9.99 per month. StreamNeo is for YouTube, not camera-based live streaming. Learn more at StreamNeo, or start your free day.
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GMKtec Mini PC, G3 PRO Intel Core i3-10110U (Beats 4300U/N150), 16GB DDR4 RAM (Dual Channel) 512GB Storage Drive, Desktop Computer 4K Dual HDMI/USB3.2/WiFi 6/BT5.2/2.5GbE for Office, Business
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Rank #4
GMKtec M5 Ultra Gaming Mini PC Ryzen 7 7730U 32GB RAM 512GB SSD Desktop
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Rank #3
BOSGAME E5 11 Pro Mini PC, AMD Ryzen 5300U 4C/ 8T, Business Home Office PC
- 【AMD Ryzen 3 5300U CPU: Outperforms N150 & 3500U】 BOSGAME E5 mini PC is powered by the TSMC 7nm FinFET architecture AMD Ryzen 3 5300U processor (4 Cores, 8 Threads, up to 3.8GHz boost, 6MB total cache). Compared to low-end Intel N150 or 3500U chips which only have 4 single threads and throttle under load, the 5300U delivers over 30% faster multi-core speed. Run 30+ browser tabs, large Excel sheets, and Zoom meetings simultaneously without system lag.
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