Cloud GPU VM

Maximum AI performance with your Cloud GPU VM

  • Exclusive NVIDIA H200 GPUs for maximum computing power
  • Guaranteed performance thanks to fully dedicated CPU cores
  • 100% European hosting for maximum data security and GDPR compliance
  • Simple, predictable pricing with fixed hourly rate
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IONOS

Cloud GPU VM

Fast computing, intelligent scaling, usage-based billing

Maximum power

A GPU has a large number of cores that can work in parallel to complete tasks in less time. It enables a significant increase in performance and efficiency for compute-intensive tasks.

European servers

Benefit from the highest security standards with ISO 27001 certified hosting in the EU. 100% GDPR compliant and designed for smooth workloads.

Billing by the minute

By-the-minute billing means you only pay for what you actually use. No minimum contract periods. Start, stop or delete your server at any time.

Cloud GPU VMs

GPUs for compute-intensive and demanding workloads. Use the highest GPU performance for AI, data science and more.
GPU VM type
GPU type
Number of GPUs
Dedicated vCPUs
RAM
Memory
Price per hour (Pay-as-you-go)
H200 - S
H200 PCIe
1
15
267 GiB
1,024 GB
£2.554
H200 - M
H200 PCIe
2
30
534 GiB
1,536 GB
£5.109
H200 - L
H200 PCIe
4
60
1,068 GiB
2,048 GB
£10.218
H200 - XL
H200 PCIe
8
127
2,136 GiB
4,096 GB
£20.436
H200 - S
GPU VM type
GPU type
H200 PCIe
Number of GPUs
1
Dedicated vCPUs
15
RAM
267 GiB
Memory
1,024 GB
Price per hour (Pay-as-you-go)
£2.554
H200 - M
GPU VM type
GPU type
H200 PCIe
Number of GPUs
2
Dedicated vCPUs
30
RAM
534 GiB
Memory
1,536 GB
Price per hour (Pay-as-you-go)
£5.109
H200 - L
GPU VM type
GPU type
H200 PCIe
Number of GPUs
4
Dedicated vCPUs
60
RAM
1,068 GiB
Memory
2,048 GB
Price per hour (Pay-as-you-go)
£10.218
H200 - XL
GPU VM type
GPU type
H200 PCIe
Number of GPUs
8
Dedicated vCPUs
127
RAM
2,136 GiB
Memory
4,096 GB
Price per hour (Pay-as-you-go)
£20.436

The Cloud GPU VM is only available via the API in the Frankfurt am Main data centre (de/fra/2).

Do you need a server for your project? Contact our experts today.

Maximum performance for your workloads

Optimise a wide range of processes with customised GPU servers from IONOS.

High performance computing

Process complex data at speed to make smarter business decisions. Whether you need real-time data validation or faster forecasting, our GPU server options provide the right performance level for every workload.

Deep learning

Optimise internal analyses and evaluate large data volumes with ease. Use AI to eliminate errors and minimise risks, giving you more time for your core business. With a GPU server, you can analyse images, texts and other data types faster.

Big data analytics

Increase the efficiency of your business intelligence and systematically access large amounts of data. The performance of a GPU server allows for deeper, more targeted analysis. Standardise data from any source and process it centrally for maximum efficiency.

AI training

Train your AI models and innovations with precision. High-performance GPUs combined with open source LLMs make your data analysis more accurate. Minimise process risks quickly so you can focus on developing your core business.

IONOS is a pioneer in cloud security

IONOS is the first German cloud provider to have both the C5 attestation and certification in accordance with the BSI's IT-Grundschutz standard (as of November 2023).

The Cloud Computing Compliance Criteria Catalogue (C5) is a catalogue of criteria published by the German Federal Office for Information Security (BSI) that defines the minimum requirements for secure cloud computing. At IONOS, Compute Engine, Cubes and S3 Object Storage fulfil these criteria, which are mandatory for clouds used in the public sector.

IONOS also holds the ISO 27001 certificate based on IT-Grundschutz. The BSI thus certifies that IONOS has implemented the necessary IT security measures and an information security management system.

The IONOS Compute Engine at a glance

Maximum performance with dedicated cores or cost-effective vCPU

  • The new price-optimised vCPU servers offer outstanding performance for a wide range of workloads.
  • Choose dedicated resources for performance-critical workloads. Optimised for low latency, high traffic and continuous CPU availability.

VMs in public and private LANs

Make your virtual machines available in public or private LANs as required. Secure at all times thanks to granularly configurable firewall, managed NAT gateway, DDoS protection and resilient with the network load balancer.

Login via SSH/RDP and Remote Console

Use tried-and-tested access protocols to control your cloud from any location, but still securely.

Compatible with up to 24 PCI slots

Connect additional network cards and storage media as required to integrate your peripherals into the cloud infrastructure. Can be combined as required and without restrictions, just as you need it.

Resources

Load balancer documentation

Introduction & first steps

See documentation
API and SDKs

API & SDK

See documentation

Cloud GPU VM Server

FAQ — frequently asked questions

With the Cloud GPU VM, you can expand your cloud infrastructure with graphics processors from NVIDIA. These virtual machines enable accelerated computing for workloads where conventional CPUs reach their limits. They benefit from massive parallel processing, which is ideal for compute-intensive tasks in research, industry and development.

The GPU instances are optimised for high performance computing (HPC) and data-intensive processes. Key areas of application include:

  • Artificial intelligence: Training of deep learning models and fast inference for generative AI
  • Data science: Accelerated big data analyses and complex simulations
  • Visualisation: Rendering, 3D modelling and Virtual Desktop Infrastructure (VDI)

Powerful NVIDIA GPUs from the enterprise segment are used. Thanks to pass-through technology, your VMs access the physical resources of the card directly. This guarantees you maximum performance without virtualisation losses – essential for demanding AI models and simulations.

You only pay for the resources you use. Billing is accurate to the minute and usage-based. This gives you full cost control and the flexibility to scale computing power for peak loads at short notice without having to make long-term investments in your own hardware.

Yes, the GPU instances can be seamlessly integrated into your existing infrastructure. For example, combine them with the Compute Engine for scalable container management or IONOS Object Storage for storing large training data. This allows you to create a powerful end-to-end environment for your projects.

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