CFD: compute flows when it counts
OpenFOAM & co. on powerful CPU and GPU instances: simulation runs scale with the project rather than with the hardware budget. High-performance computing for your CFD workflows – with predictable costs, current hardware and an environment built for complex models.
- More computing power – lower costs – GPU-based CFD significantly accelerates simulations and reduces the cost per run.
- Latest hardware – available immediately – Nvidia-based cloud instances, available at any time, seamlessly scalable, integrated into ccloud³.
- Total costs under control – no purchase, maintenance or updating of your own CFD hardware; spending remains predictable.
- Built for complex models – predictable costs, current hardware and an environment for transient scenarios and complex physics.
Computing power in step with the iterations
CFD thrives on iterations – the faster a run, the more variants the project generates.
Cores by case size
Large meshes are assigned large instances or dedicated servers – smaller versions run in parallel on several VMs.
GPU acceleration
GPU-enabled solvers and post-processing benefit from dedicated RTX cards from €92.59 per month (billed by the hour).
Results archived
Simulation data is transferred to S3 – every calculated variant remains traceable and comparable.
Budget per project
Hourly billing fits in well with project-based costing – no hardware that sits idle between jobs.
Ready for the future of flow simulation with cloud GPUs
Modern product development demands precise flow analyses, fast decisions and efficient use of resources. Classic methods reach their limits with complex physics – wind tunnel tests are expensive and inflexible. CFD offers enormous potential but in practice often fails for lack of computing power, know-how or suitable tools.
Why CFD is so valuable
Flow simulations are the key to better products – but with complex physics and transient scenarios, classic calculation approaches quickly reach their limits. Long computing times and simplified models lead to inaccurate results and missed opportunities. The geometry for it is created on CAD in the cloud.
More computing power – lower costs
With GPU-based CFD you significantly accelerate your simulations while reducing the cost per run. Compared with classic CPU clusters, you benefit from lower investment – with equivalent or even higher performance on Cloud GPU.
Latest hardware – available immediately
Whether high-end simulation or demanding visualisation: the infrastructure delivers maximum performance, razor-sharp results and smooth processes – with no waiting; large meshes compute on dedicated servers or HPC instances.
Total costs under control
Purchasing, maintaining and continually updating your own CFD hardware is expensive. With cloud-based solutions, your spending remains predictable and calculable – and you benefit from greater flexibility for your projects at the same time.
Parameter studies carried out in parallel rather than sequentially
Instead of tying up a workstation for weeks on end, ten variants run in parallel on ten instances – orchestrated via scripts or Kubernetes jobs. Results are collected by S3, whilst post-processing is handled by a GPU instance running ParaView.
- OpenFOAM-ready – Linux instances with root access
- Parallel runs – Jobs across multiple instances
- Post-processing – ParaView on GPU
- Project Accounting – by the hour for each study
The right centron products
Customers typically implement this use case using these building blocks – which can be combined and expanded at any time.
- AMD & Intel CPUs
- NVMe as the standard
- Contractually agreed SLA
- RTX A4000 from €92.59 per month
- Quadro RTX 6000 from €170.83 · A100 from €489.47 · RTX 6000 Ada from €858.19 per month
- Dedicated, not shared
- No minimum term
- S3-compatible API
- Free traffic
- Unlimited scalability
How much does CFD simulation cost at Centron?
CFD simulation in the cloud: flow calculations on HPC and GPU instances – computing power on demand instead of your own clusters. The core component is a dedicated server from €29.99 per month – billed by the hour, with no minimum contract term. This is supplemented, as required, by Cloud GPU and S3 Object Storage. All data remains in Germany: in our own data centres in Hallstadt near Bamberg, certified to ISO 27001 on the basis of IT-Grundschutz and BSI C5:2020 Type 1. New accounts receive a €200 starting credit.
| Building block | Price |
|---|---|
| Dedicated Server | from €29.99 per month |
| Cloud GPU | from €92.59 per month |
| S3 Object Storage | from €5.00 per month |
Frequently asked questions
What is CFD and why is it important?
What are the advantages of GPU-accelerated CFD?
How do I specifically speed up my CFD runs?
Why does cloud-based CFD make economic sense?
How much does it cost to get started?
Which industries benefit most from using cloud GPUs for CFD?
Is using centron’s cloud resources complicated or time-consuming?
How can I get started with cloud-based CFD at centron?
Does centron offer servers for rent – and which variants are there?
Can this be implemented in a way that complies with the GDPR?
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