GPU comparison: Centron vs. OVHcloud

What sets centron apart

Four reasons to take a closer look

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

Germany rather than ‘somewhere in Europe’

OVHcloud is a European (French) provider with international regions. centron operates exclusively German data centres – with BSI C5 certification, the German cloud security standard.

Dedicated NVIDIA RTX

RTX A4000 from €0.13 per hour and RTX 6000 Ada with 48 GB VRAM – exclusively allocated to ensure consistent training and rendering times.

Support in German, included

24/7 expert support at no extra cost, with dedicated contact persons – direct lines of communication rather than international ticket chains.

Transparent GPU costs

Accurate to the hour, free S3 traffic for training data, €200 starting credit for the practical test.

Head-to-head comparison

centron and OVHcloud for GPU infrastructure

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

Criterion	centron	OVHcloud
Product focus	NVIDIA cloud GPUs with separately configurable cloud resources for AI, machine learning, rendering, simulations and HPC	Public Cloud GPU, GPU Dedicated Server, bare metal and cloud integration; the resource combination is tied to the respective instance profile
GPU models	NVIDIA RTX A4000 16 GB, Quadro RTX 6000 24 GB, A100 40 GB, A100 80 GB, RTX 6000 Ada 48 GB	NVIDIA H100 80 GB, H200 141 GB, L40S 48 GB, L4 24 GB, A10 24 GB, V100S 32 GB, RTX 5000 16 GB and GPU Dedicated Servers with L40S
Entry level / AI inference	RTX A4000 from €0.13/hour or €92.59/month – no setup fee	RTX 5000 16 GB from €0.4284/hour; V100S 32 GB from €0.952/hour
Midrange GPU	Quadro RTX 6000 from €0.24/hour or €170.83/month	L4 24 GB from €0.8925/hour; A10 24 GB from €0.9044/hour
AI training	A100 40 GB from €0.679/hour or €489.47/month	L40S 48 GB from €1.666/hour; as a GPU Dedicated Server with an additional installation fee
Memory-intensive AI workloads	RTX 6000 Ada 48 GB from €1.192/hour or €858.19/month	H100 80 GB from €3.332/hour
High-end GenAI & large language models	A100 80 GB from €1.243/hour or €894.73/month	H200 141 GB from €49.98/hour (multi-GPU configuration)
Billing	Hourly and monthly rates per GPU model, no setup fee; €200 starting credit for 60 days	Public cloud instances billed hourly, dedicated servers as fixed monthly rental plus installation fee
Security & location	Own data centre in Germany; ISO/IEC 27001 based on IT-Grundschutz (BSI-IGZ-0773), GDPR compliant, unqualified BSI C5:2020 Type 1 attestation	European provider with international infrastructure, including data centres in France and Germany; BSI C5:2020 Type 2 attestation
Target group	Companies needing flexible GPU capacity, data sovereignty, personal support and cost control	Developer and platform teams, research institutions and companies operating GPU resources within a larger cloud and bare-metal ecosystem

Comparing GPUs fairly

Sovereignty has different levels

‘European’ does not automatically mean ‘German’: For some compliance requirements, EU hosting is sufficient; others explicitly require a German provider, a German data centre and a C5 certificate. Clarify your compliance requirements – and test the technical aspects using your actual workload on centron GPUs.

BSI C5the German benchmark for cloud security

Arrange a consultation

Requirements Check – EU hosting or a German C5 provider?
Workload test – with a starting balance of €200
Clarity of data paths – all in Germany
Direct line – German-language GPU consultancy

FAQ on Comparison

Frequently asked questions about the comparison

Is an EU-based provider not sufficient for the GDPR?

In principle, yes, for the GDPR – but many industry-specific requirements (such as those in the healthcare sector or the public sector) also stipulate that organisations must have German locations and hold BSI C5 certification. Your compliance team will determine which level you require; centron meets the most stringent requirements.

What exactly does a dedicated GPU mean in everyday life?

Consistency: Your training time depends solely on your job, not on neighbours on the same map. This makes running times reproducible and benchmarks meaningful.

How do I migrate GPU workloads to centron?

Usually straightforward: container images and training scripts run straight away thanks to standard stacks (CUDA, PyTorch, TensorFlow); rclone transfers datasets to S3. Our team provides support during the initial set-up.

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.

GPU: Centron vs. OVHcloud