Accelerate your most demanding workloads with on-demand NVIDIA GPU cloud servers. From Artificial Intelligence (AI) and machine learning to high-performance computing (HPC) and complex rendering, our GPU instances provide the raw power you need. Securely scale your resources in seconds and maintain full control over your environment, all hosted within sovereign European data centers.
Deploy powerful NVIDIA GPUs within minutes. Start training AI models, rendering 3D projects, or running simulations — no setup complexity or waiting times.
Performance Optimized for AI, ML, and Rendering
Choose the GPU instance that fits your workload. From deep learning and data analytics to 3D rendering and video processing, Exoscale offers high-performance GPUs optimized for speed and reliability.
Effortless Scalability for Dynamic Workloads
Scale GPU resources instantly as your project grows. Add or remove GPU instances on demand to handle everything from AI inference peaks to large-scale rendering tasks.
Predictable and transparent costs
Stay in full control of your cloud costs. Exoscale GPUs are billed per second with no hidden fees or data transfer surprises — perfect for predictable, cost-efficient scaling. Calculate your price
European Data Sovereignty & Security
Run your GPU workloads on a trusted European Cloud Provider. With Exoscale, all data stays within EU borders, fully GDPR-compliant and protected by strict security standards.
Powerful NVIDIA GPU Cloud Computing for demanding workloads
Running compute-intensive tasks requires the right GPU infrastructure. Exoscale Cloud GPUs make deploying and managing instances simple, efficient, and secure. Whether you need a single server for AI training or a scalable cloud setup for complex simulations, you stay in control with fast provisioning, reliable performance, and privacy-focused European data centers. Exoscale’s GPU instances are ready to integrate with the tools you already use, supporting popular frameworks like TensorFlow and PyTorch right out of the box. Optimize costs and performance with our per-second billing model—pay only for the computational power you need, exactly when you need it.
Find the Right NVIDIA GPU for Your Workload
Every project has unique demands. That’s why we offer a range of NVIDIA GPU instances, from models optimized for AI and machine learning to powerful servers built for high-performance computing (HPC) and complex visual rendering.
Find the perfect balance of performance and price for your application, and count on our reliable infrastructure to drive your work forward with confidence. Explore our GPU cloud server and find your perfect match.
GPU A30
Powered by NVIDIA A30. Perfect for AI inference, high-performance computing (HPC), and data-analytics workloads.
NVIDIA GeForce RTX 3080 Ti is excellent for deep-learning model training, image processing, NLP, and more. 100 % liquid-cooled with heat-reuse technology.
Entry-level all-rounder leveraging NVIDIA RTX A5000. Fully liquid-cooled with heat-reuse for sustainable accelerated computing. Great for AR/VR, simulations, rendering, and AI.
Combine GPU Cloud Computing with other Exoscale products
Extend your infrastructure with services that work seamlessly with your GPU servers in Europe. From managed Kubernetes (SKS) to object storage (SOS) and compute instances, everything integrates with minimal configuration effort.
Simple Object Storage
Use a highly scalable and S3-compatible object storage solution for unstructured data. Ideal for storing backups, logs, static assets, or media, fully integrated with Exoscale regions and access-controlled via API.
Attach flexible, high-performance volumes to your VM instances for persistent data, fast I/O, and scalable capacity. Ideal for databases, log storage, and container environments.
Deploy containerized applications on a production-ready hosted and managed Kubernetes cluster in under two minutes. Use SKS as the orchestration layer for your application pods, using GPU virtual machine instances as underlying nodes.
For sensitive or regulated industries, Exoscale offers GPU instances on dedicated hypervisors — providing full isolation, consistent performance, and enterprise-grade security.
NVIDIA-Powered Cloud Infrastructure
Exoscale GPU instances are built on NVIDIA’s latest architecture, delivering exceptional speed and reliability for AI training, machine learning, and rendering workloads.
Seamless Cloud-Native Integration
Integrate Exoscale GPUs into your existing DevOps workflows. With open APIs, Terraform, and native Kubernetes (SKS) support, GPU compute fits smoothly into your cloud architecture.
High Performance, Cost-Optimized GPU Cloud
Get the best performance-to-cost ratio for compute-intensive applications. Exoscale’s GPU cloud offers enterprise-level hardware without vendor lock-in or overpricing.
Sustainable GPU Infrastructure
Exoscale’s data centers are powered by renewable energy and designed for efficiency, supporting your GPU workloads with lower environmental impact and energy-conscious performance. Some GPU instances also offer Direct Liquid Cooling for maximum efficiency.
Secure, Sovereign European Data Hosting
Your GPU data and workloads are stored exclusively in European data centers — ensuring data sovereignty, compliance, and the highest standards of cloud security.
Combine the simplicity and scalability of the Exoscale Cloud with the power of NVIDIA GPUs. With a Docker-based template or SKS, you can access the full potential of the NVIDIA GPU Cloud (NGC) and significantly reduce time to solution.
NVIDIA GPU Cloud (NGC) provides a selected set of GPU-optimized software for artificial intelligence applications, visualizations, and HPC. The NGC Catalog includes containers, pre-trained models, Helm charts for Kubernetes deployments, and specific AI toolkits with SDKs.
NGC catalog works with both Exoscale Compute Instances and Exoscale Scalable Kubernetes Service. The image template for Kubernetes worker nodes embeds the optimized version of the container runtime for GPU cards, making it quick work to start any application from the catalog without fiddling with drivers and CUDA versions.
GPU Cloud Computing trusted by teams across Europe
Reliable GPU servers are essential for demanding workloads. Exoscale enables developers, research teams, and companies across Europe to run complex applications securely and efficiently. Power up your projects by seamlessly connecting your GPU instances with our full ecosystem of services, including our S3-compatible Object Storage for your datasets and our fully managed databases.
Choose from a Wide Selection of Officially Supported Templates
Explore more Exoscale services
Extend your GPU Cloud Computing with complementary offerings that help you achieve higher availability, better performance, and expert support for any workload. Exoscale has the right service to support your project’s growth.
Database as a Service (DBaaS)
Simplify data management with managed databases, including PostgreSQL, MySQL, Kafka, OpenSearch, Valkey, and Grafana, designed to seamlessly integrate with your applications. Access their vector extensions like pgvector or vector search, at no additional cost for RAG.
Flexible virtual machines optimized for general-purpose, memory-intensive, CPU-bound applications or GPU workloads. Combine with your Kubernetes workloads to scale efficiently across all use cases.
Get the help you need to run your infrastructure with confidence through flexible support plans, designed to provide expert guidance, with guaranteed response times (SLA), ensuring our experts are there when you need them most.
Frequently asked questions about GPU Cloud Computing
What is a GPU server?
A GPU instance is a cloud or physical server equipped with one or more graphics processing units (GPUs). Unlike standard servers, it is optimized for parallel processing tasks such as machine learning, 3D rendering, and scientific computing.
Which workloads benefit most from GPU Cloud Computing on Exoscale?
Exoscale GPUs accelerate workloads like AI/ML training, deep-learning inference, 3D rendering, video processing, and scientific simulations.
They deliver the parallel processing power needed for compute-intensive applications, all hosted in secure European data centers.
What kind of GPU instances does Exoscale offer?
Exoscale provides cloud servers with NVIDIA GPUs (A30, V100, A40, A5000, 3080ti, and soon RTX Pro 6000 and B300) for high-performance computing. You can choose the cloud server that fits your AI, research, or visual workload best.
How can I run Large Language Models (LLMs) on Exoscale GPU instances?
Exoscale GPU instances are ideal for deploying and fine-tuning Large Language Models such as Llama 3, GPT-OSS, Qwen3 or Mistral. You can choose from powerful NVIDIA GPUs like the A30 or RTX A5000 to handle demanding inference and training workloads. Our detailed step-by-step guide — Running LLMs on GPUs — shows how to prepare your environment, launch a GPU instance, and deploy open-source models efficiently within our sovereign European cloud.
