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Why Choose Exoscale for Your AI Workloads?

Dedicated Performance

Dedicated Performance

Run demanding AI workloads: your GPUs are physically isolated, ensuring consistent throughput and stable latency for critical production environments. Avoid performance drop from noisy neighbors.

GDPR Compliant by Design

GDPR Compliant by Design

Your data stays exclusively within Europe, meeting the highest privacy and regulatory compliance standards. Our infrastructure is built to ensure that sensitive information never leaves the European jurisdiction, providing you with complete peace of mind.

Designed for Long-Term Reliability

Long-Term Reliability

Engineered for stable, predictable operation in production. Built on proven architectures, open interfaces, and clear operational limits, so workloads remain portable, behave as expected, and stay reliable over time.

Concrete AI: Our AI Infrastructure Product Suite

Discover the building blocks for running AI in production, from high-performance compute to fully managed inference and data services.

GPU Cloud Computing

High-Performance GPUs

Accelerate AI training, fine-tuning, and volume inference using powerful NVIDIA GPUs. Scale from a single GPU to multi-GPU setups without complex orchestration. Perfect for machine learning, data processing, 3D rendering, inference, and scientific computing.

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Dedicated Inference

Dedicated Inference

Fully managed, secure, and production-ready API endpoints for any open-source AI model. Zero operations required. Focus on building your applications while we handle scaling, monitoring, and maintenance.

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Managed Vector Databases

Managed Vector Databases

Essential tools for modern AI, powering Retrieval-Augmented Generation (RAG) and semantic search workloads. Fully managed PostgreSQL with pgvector and OpenSearch-based vector search.

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Strategic Advantages for Enterprise AI

Explore More Exoscale Services

Extend your AI workloads with SKS, Compute Instances, Object and Block Storage, and our Support Plans. These services provide the reliability, performance, and flexibility you need to build and scale production-grade AI on a sovereign European cloud.

Compute Instances

Compute Instances

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.

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Block Storage

Block Storage

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.

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Kubernetes

Scalable Kubernetes Service

Deploy containerized applications on a production-ready Kubernetes cluster in under two minutes. Use SKS as the control layer for your virtual machine instances, with support for CLI, API, Terraform, and other DevOps tools.

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object-storage

Simple Object Storage

Use a highly scalable and S3-compatible storage solution for unstructured data. Ideal for storing backups, logs, static assets, or media, fully integrated with Exoscale regions and access-controlled via API.

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Support Plans

Support Plans

Get the help you need to run your infrastructure with confidence through flexible support plans that provide expert guidance and guaranteed response times (SLA), ensuring our experts are there when you need them most.

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Trusted by Engineering Teams Across Europe

Running mission-critical AI in production requires a dependable partner. Our engineering and support teams help organizations across Europe reliably migrate, deploy, and scale their workloads on Exoscale’s sovereign, sustainable cloud platform.

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Frequently Asked Questions

Can I use my existing AI models on Exoscale?

Yes, you can deploy any model from platforms like Hugging Face or bring your own custom model file, especially by using our Dedicated Inference service.

How does Exoscale ensure GDPR compliance for AI data?

All our data centers are located entirely within Europe, ensuring that your data never crosses European borders and is fully compliant with GDPR by default.

What are the pricing models for the AI products?

For GPU compute, we offer transparent, per-second billing, meaning you only pay for the exact GPU time you use. Dedicated Inference cost is primarily on GPU time. For Vector Databases, you only pay for your PostgreSQL or OpenSearch instance. No extra fees are billed for the extension.

Does Exoscale support open standards to avoid vendor lock-in?

Yes. We prioritize open standards and compatibility (such as OpenAI-compatible APIs and standard Kubernetes), ensuring you can easily migrate workloads in and out without proprietary barriers.