Video encoding: transcoding at the pace of uploads
FFmpeg pipelines with GPU acceleration: convert video uploads into every format and resolution – scaled by queue, not by wishful thinking. In times of high-speed internet and ever more powerful devices, the demands on video productions are rising rapidly: users expect razor-sharp images, smooth streaming and maximum compatibility on all platforms – for smart workflows with more iterations and faster rendering from previsualisation to the final frame.
- Maximum video quality without compromise – razor-sharp images, smooth streaming and maximum compatibility on all platforms.
- Access to the latest hardware – Nvidia RTX A4000, RTX 6000 Ada and A100, always up to date for maximum performance and best image quality.
- Efficient distribution of computing resources – additional instances are available automatically under higher data load, especially for large-scale streaming projects.
- Significantly reduced total costs – rent infrastructure only for the period you really need it instead of buying and maintaining servers.
The on-demand encoding farm
Encoding is predictably computationally intensive – ideal for infrastructure that scales with the queue.
NVENC acceleration
GPU encoding on RTX graphics cards converts streams many times faster than CPU-only encoding – from €92.59 per month (billed by the hour).
Worker by Queue
Kubernetes starts encoding workers when jobs are queued and stops them afterwards – no idle costs.
In and Out via S3
Source files and finished renditions are transferred via S3 – with free traffic for delivery as well.
Jobs that are easy to follow
Job queues and monitoring display throughput, errors and costs for each encoding profile.
The solution: cloud-based video encoding
Bandwidth limits, network congestion, device fragmentation, storage costs and choosing the right codec are the challenges of modern video producers – cloud-based video encoding solves them with hardware on demand.
Why video encoding is so important
Professional video encoding converts your raw video data into highly compressed, compatible formats. This enables shorter loading times, smaller data volumes and optimal display on different devices – whereas your own encoding infrastructure demands expensive hardware, ongoing maintenance and specialist knowledge.
Access to the latest hardware
We always keep our hardware up to date. That guarantees maximum performance and the best image quality – GPU servers with Nvidia RTX A4000, RTX 6000 Ada and A100 as Cloud GPU, billed by the hour.
Efficient distribution of computing resources
Especially for large-scale streaming projects, the cloud scores with scalable performance: additional instances become available automatically under higher data load – encoding workers in Kubernetes follow the queue, results go to video hosting.
Significantly reduced total costs
Running your own servers is expensive – in purchase as well as in maintenance and updating. With cloud services you simply rent the infrastructure you need for the period you really need it – with predictable budgeting.
Your encoding pipeline, automated
An upload triggers the job; FFmpeg generates the complete ABR set (1080p to 240p plus thumbnails), and the results are stored in S3 with versioning – ready for streaming. The AutoScaler handles peaks following events by deploying additional GPU workers.
- FFmpeg pipelines – full control over profiles
- Auto-scaling – Workers follow the queue
- ABR sets – all resolutions automatically
- S3 connection – In/Out with no traffic charges
- 99.8% uptime SLA for ccloud³ VMs in the HA Pool – reliably hosted in German data centres
The right centron products
Customers typically implement this use case using these building blocks – which can be combined and expanded at any time.
- RTX A4000 from €92.59 per month
- Dedicated, not shared
- No minimum term
- AutoScaler included
- Traffic at a fixed price
- CI/CD-ready
- S3-compatible API
- Free traffic
- Unlimited scalability
How much does video encoding cost at Centron?
GPU-accelerated video encoding: Scale transcoding as required – pay by the hour instead of buying an encoding farm. The cornerstone of this service is Cloud GPU, starting at €92.59 per month – billed by the hour, with no minimum contract term. This is supplemented, as required, by Kubernetes and S3 object storage. The infrastructure runs in our own German data centres, which are certified to ISO 27001 on the basis of IT-Grundschutz and hold an unrestricted BSI C5:2020 Type 1 certificate. New accounts receive a €200 starting credit.
| Building block | Price |
|---|---|
| Cloud GPU | from €92.59 per month |
| Kubernetes | from €29.99 per month |
| S3 Object Storage | from €5.00 per month |
Frequently asked questions
What is video encoding?
Why should I use video encoding?
How does video encoding work in the cloud?
How much faster is GPU encoding really?
What are codecs?
How much does it cost to get started?
Why should I choose centron as my cloud hosting provider?
What advantages does centron offer for video encoding cloud hosting?
Can this be implemented in a way that complies with the GDPR?
Can I rent servers from centron?
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