Comparison – GPU Product Comparison

GPU: Centron vs. Hetzner

A comparison of cloud GPUs for AI, rendering and simulation: dedicated NVIDIA performance, fair billing and data sovereignty at centron.

What sets centron apart

Four reasons to take a closer look

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

Dedicated RTX Power

NVIDIA RTX A4000 with 16 GB from €0.13 per hour, RTX 6000 Ada with 48 GB VRAM on request – exclusively allocated, not shared.

Billed by the hour

GPU instances are billed by the hour – experiments remain affordable, and continuous operation can be planned from €92.59 per month.

AI based on C5

Training and inference on C5-certified infrastructure in Germany – the evidence required for AI projects in regulated sectors.

GPU advice included

Which GPU for which model? Our team can advise you on specification and setup – free of charge, before you book.

Head-to-head comparison

centron and Hetzner for GPU infrastructure

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

CriterioncentronHetzner
Product focusNVIDIA cloud GPUs with separately configurable cloud resources for AI, machine learning, rendering, simulations and HPCDedicated GPU root servers with fixed hardware; on the GEX44 only the operating system is selectable, the GEX131 offers three preconfigured types
GPU modelsNVIDIA RTX A4000 16 GB, Quadro RTX 6000 24 GB, A100 40 GB, A100 80 GB, RTX 6000 Ada 48 GBGEX44 with NVIDIA RTX 4000 SFF Ada 20 GB; GEX131-1, -2 and -3 with NVIDIA RTX PRO 6000 Blackwell Max-Q 96 GB
Entry level / AI inferenceRTX A4000 from €0.13/hour or €92.59/month – no setup feeGEX44 from €0.3750/hour or €234.00/month, plus a one-off setup fee of €114.00
Midrange GPUQuadro RTX 6000 from €0.24/hour or €170.83/monthNo directly comparable configuration for midrange requirements
AI trainingA100 40 GB from €0.679/hour or €489.47/monthGEX131-1 from €1.9215/hour or €1,199.00/month, plus €599.00 setup
Memory-intensive AI workloadsA100 80 GB from €1.243/hour or €894.73/monthGEX131-2 from €2.8830/hour or €1,799.00/month, plus €899.00 setup
Rendering & professional graphicsRTX 6000 Ada from €1.192/hour or €858.19/monthGEX131-3 from €3.6843/hour or €2,299.00/month, plus €1,149.00 setup
BillingHourly and monthly rates per GPU model, no setup fee; €200 starting credit for 60 daysFixed server rental for dedicated hardware, plus setup costs depending on the server model
Security & locationOwn data centre in Germany; ISO/IEC 27001 based on IT-Grundschutz (BSI-IGZ-0773), GDPR compliant, unqualified BSI C5:2020 Type 1 attestationGPU infrastructure in Germany or Finland, GDPR compliant, ISO 27001, unqualified BSI C5:2020 Type 2 attestation
Target groupCompanies needing flexible GPU capacity, data sovereignty, personal support and cost controlTechnically experienced teams that administer long-term rented server hardware themselves at steady utilisation
Comparing GPUs fairly

A price per hour is not the same as a price per result

When comparing GPUs, what matters is the cost of a completed training or rendering job: VRAM size, dedicated allocation and storage connectivity determine the actual computation time. Test your workload with a €200 starting credit on genuine centron hardware – that’s more meaningful than any table.

€0.13 per hourRTX A4000 · dedicated
Arrange a consultation
  • VRAM Consultancy – 16 GB or 48 GB for your model
  • Benchmark test – with starting credit for a real job
  • Storage connectivity – NVMe & S3 for training data
  • Scaling path – up to Kubernetes with GPU nodes
FAQ on Comparison

Frequently asked questions about the comparison

Which Centron GPU is best suited to my AI project?

Rule of thumb: Inference and compact models run well on the RTX A4000 (16 GB); larger models and fine-tuning require the RTX 6000 Ada with 48 GB of VRAM. Our team would be happy to take a look at your model in advance.

Are the GPUs really dedicated?

Yes – the GPU is dedicated exclusively to your instance whilst the instance is running. This means consistent training times without performance fluctuations caused by neighbouring instances.

How can I compare GPU prices reliably?

About the job as a whole: same task, same data, stopwatch set – on both platforms. With the €200 starting credit, the centron part of this test costs nothing; please refer to the respective current price lists for the providers’ prices.

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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