io.net lets you choose which geographic region your GPU instances run in — North America, Europe, Asia-Pacific, or specific countries within those regions. For organizations bound by GDPR, data sovereignty laws, or internal policies that prohibit data from leaving certain jurisdictions, this is a real consideration when picking a GPU cloud.
Available Regions
With 200,000+ GPUs distributed across 130+ countries, io.net has broad geographic coverage. You select your region at deployment time:
| Region | GPU availability | Typical use case |
|---|---|---|
| US East | High (all GPU types) | Low-latency US serving, default choice |
| US West | High (all GPU types) | West coast applications |
| EU (Germany, Netherlands, Finland) | Moderate (A100, H100, 4090) | GDPR-compliant processing |
| UK | Moderate | UK data sovereignty requirements |
| Asia-Pacific (Japan, Singapore, Australia) | Moderate | APAC latency optimization |
| Custom/Specific country | Varies | Regulatory requirements |
When you deploy an instance and select a region, your workload runs exclusively on GPUs physically located in that region. Data processed on those GPUs doesn't transit through other regions.
GDPR and EU Data Requirements
For EU-based organizations or anyone processing EU citizen data, the key question is whether personal data leaves the EU. On io.net:
- Select EU region at deployment to ensure GPUs are physically in EU member states
- Persistent storage attached to EU instances stays in EU data centers
- Network egress between your EU application and EU GPU instances stays within the region
- No data replication to other regions unless you explicitly configure it
This satisfies GDPR Article 44-49 (restrictions on international transfers) for the compute layer. You're still responsible for ensuring your application layer, data pipeline, and model artifacts also comply.
Enterprise Data Residency Controls
On enterprise plans, io.net provides additional controls:
Region locking: Configure your account so instances can only be deployed in approved regions. Prevents accidental deployment in non-compliant geographies.
Data transfer policies: Restrict egress to approved destination IPs or regions. Useful for ensuring training outputs don't leave the jurisdiction.
Residency certification: io.net can provide documentation confirming the physical location of GPU infrastructure for audit purposes.
Common Scenarios
EU healthcare company training medical AI:
Deploy on EU GPUs, enable Confidential Compute, sign BAA. Data never leaves EU jurisdiction. Model weights and training checkpoints stored on EU-resident persistent volumes.
US financial services with data sovereignty requirements:
Deploy on US East or US West. Data residency attestation available for regulatory filings. Audit logs confirm geographic compliance.
Global company with multi-region needs:
Deploy separate clusters in each region. Route training and inference to the appropriate region based on data origin. io.net's API supports region-specific provisioning in a single account.
Limitations to Be Aware Of
Model artifact management is your responsibility. If you train a model in the EU and download the weights to a US laptop, you've moved data out of the EU. io.net controls where compute happens, not what you do with the outputs.
DNS and control plane traffic is global. API calls to io.net's control plane may route through non-local infrastructure. This doesn't contain user data — only provisioning commands and metadata — but some ultra-strict interpretations of data residency may require clarification.
GPU availability varies by region. H100s are most plentiful in US regions. EU and APAC may have limited H100 availability during peak demand. Plan accordingly for large-scale training runs.
Deploy GPUs in your region — EU, US, APAC availability with data residency controls. Choose your region
