Comparison – GPU Product Comparison

GPU: Centron vs. IONOS

GPU computing for AI and creative workloads: what sets centron Cloud GPU apart – and how to compare the two offerings fairly.

What sets centron apart

Four reasons to take a closer look

Proven strengths rather than marketing hyperbole – verified in audits, experienced by customers.

A clear GPU portfolio

Two cards, clear use cases: RTX A4000 (16 GB) for inference and rendering from €0.13 per hour, RTX 6000 Ada (48 GB) for large models – without the hassle of complex configuration.

A smooth start

From €92.59 per month or charged by the hour – plus a €200 starting credit, which allows you to try out your first training sessions practically for free.

Data remains in Germany

Training data and models are stored in German, C5-certified data centres – which is important when customer data is used in the training process.

From testing to production

The same provider supports the entire process: GPU experimentation, production inference in Kubernetes, S3 for datasets – without having to switch platforms.

Head-to-head comparison

centron and IONOS for GPU infrastructure

centron prices are taken from the price list and can be verified. Information on IONOS reflects the publicly available position as of August 2026; only the provider’s current information is authoritative. All prices are net, excluding VAT.

CriterioncentronIONOS
Product focusNVIDIA cloud GPUs with separately configurable cloud resources for AI, machine learning, rendering, simulations and HPCDedicated GPU servers or high-end cloud GPU VMs from NVIDIA and Intel with fixed server configurations
GPU modelsNVIDIA RTX A4000 16 GB, Quadro RTX 6000 24 GB, A100 40 GB, A100 80 GB, RTX 6000 Ada 48 GBNVIDIA Tesla T4 16 GB, A10 24 GB, Intel Flex 170 16 GB, NVIDIA RTX PRO 6000 Blackwell 96 GB, NVIDIA H200 141 GB
Entry level / AI inferenceRTX A4000 from €0.13/hour or €92.59/monthTesla T4 GPU server from €0.7833/hour or max. €564.00/month
Midrange GPUQuadro RTX 6000 from €0.24/hour or €170.83/monthA10 GPU server from €0.9431/hour or max. €679.00/month
AI trainingA100 40 GB from €0.679/hour or €489.47/monthH200 cloud GPU VM with one GPU from €3.00/hour
Memory-intensive AI workloadsA100 80 GB from €1.243/hour or €894.73/monthH200 cloud GPU VM with eight GPUs from €24.00/hour
Rendering & professional graphicsRTX 6000 Ada from €1.192/hour or €858.19/monthRTX PRO 6000 Blackwell GPU server from €1.6528/hour or max. €1,190.00/month
BillingHourly and monthly rates per GPU model, freely configurable resources; €200 starting credit for 60 daysFixed packages, only the operating system is selectable; higher entry price
Security & locationOwn data centre in Germany; ISO/IEC 27001 based on IT-Grundschutz (BSI-IGZ-0773), GDPR compliant, unqualified BSI C5:2020 Type 1 attestationISO 27001, GDPR compliant, BSI C5:2020 Type 1 attestation; international locations including the USA
Target groupCompanies needing flexible GPU capacity, data sovereignty, personal support and cost controlEstablished companies using standardised GPU servers or cloud GPU VMs within a large provider portfolio
Comparing GPUs fairly

Testing beats tables

Specifications tell you little about your actual training time – storage throughput, dedication and the software stack all play a part. The fair comparison: running the exact same job on both platforms. With centron, this test costs nothing thanks to the starter credit, and our team will help with the set-up.

dediziertFull GPU performance without neighbours
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  • Same job, two clouds – the only fair benchmark
  • Setup Help – Drivers & stacks prepared
  • Data pipeline – NVMe & S3, including traffic
  • An honest assessment – even if it goes against us
FAQ on Comparison

Frequently asked questions about the comparison

How quickly can I get started with Centron GPU?

In a matter of minutes: deploy a GPU instance, use pre-configured driver setups, load data from S3 – and start your first training runs on the very same day. If you have any questions, our 24/7 support team is on hand to help with the setup.

Can I switch between different GPU sizes?

Yes – you can switch from the RTX A4000 to the RTX 6000 Ada (on request) as models are upgraded; billing is calculated to the hour, so the switch does not result in any outstanding charges.

What should be included in a fair GPU price comparison?

All ancillary costs: storage for data records, traffic for data transfer, support costs and the actual job runtime on dedicated versus shared hardware. At centron, S3 traffic and support are included – please refer to other providers’ current price lists for their specifications.

Note: Information on competitors reflects the publicly available position as of August 2026 and does not claim to be exhaustive; features and prices may have changed since. Only the current information provided by the respective providers is authoritative. The trademarks mentioned are the property of their respective owners; there are no partnerships. centron prices: entry-level prices plus VAT; details can be found on the product and pricing pages.

Get started for free

Sign up and receive €200 credit at centron within your first 60 days.

This promotional offer applies to new accounts only. Available exclusively to businesses.

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