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Best for Enterprise Production, Model Deployment, Massive Scale

Best for European AI startups and researchers seeking low-cost, 100% renewable energy GPU compute with strict GDPR compliance.
DataCrunch.io is a specialized European cloud provider focused entirely on delivering highly cost-effective, high-performance GPU compute. Based in Finland and Iceland, their data centers operate on 100% renewable energy, passing the massive power savings directly to developers. By avoiding the massive overhead and complex billing structures of AWS or GCP, DataCrunch allows startups and researchers to spin up bare-metal NVIDIA instancesβfrom V100s to the latest H100sβin seconds. It is the premier choice for European companies requiring strict GDPR compliance without sacrificing raw deep learning performance.
| GPU Models | H100, A100, V100, RTX A6000 |
| GPU Types | A100, H100, RTX A6000, V100 |
| Headquarters | Helsinki, Finland |
| Founded | 2020 |
| Availability | Available Now |
| Website | datacrunch.io β |
π‘ Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote β
DataCrunch.io GPU cloud pricing starts from $0.45/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
DataCrunch.io offers H100, A100, V100, RTX A6000 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
DataCrunch.io operates data centers in Finland (EU), Iceland (EU). Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to DataCrunch.io and other matching providers. You'll receive proposals within 24 hours β no commitment required.
DataCrunch.io offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

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