European Commission plans to designate Amazon Web Services and Microsoft Azure as gatekeepers under the Digital Markets Act for their cloud infrastructure services. The move follows the standard DMA process and was flagged on Hacker News with 32 points and 8 comments.
The designation targets core platform services in cloud computing. Once finalized, both companies must comply with obligations on data portability, interoperability, and restrictions against self-preferencing within 6 months.
DMA Gatekeeper Rules for Cloud
Gatekeeper status requires designated firms to allow business users fair access to their platforms without mandatory use of additional services. For cloud, this covers APIs, data export formats, and switching between providers.
The rules also limit the ability to combine personal data across services without explicit consent. Amazon and Microsoft must submit compliance reports detailing technical measures.
Numbers From the Designation Process
The Commission has identified 22 core platform services across multiple firms since the DMA entered into force. Cloud infrastructure accounts for two of the newest proposed designations.
Early DMA enforcement actions against other gatekeepers produced compliance costs estimated between €50-200 million per company in the first year. No specific figures have been released yet for the cloud cases.
Impact on AI Training and Inference
AI teams running workloads on AWS or Azure in Europe face new requirements around data mobility. Exporting training datasets or model weights to another provider must occur without technical barriers or extra fees.
Interoperability mandates may accelerate support for open standards such as Kubernetes and standard object storage APIs. Teams using proprietary managed services could encounter migration friction during the transition period.
Alternatives and Comparisons
European AI practitioners currently have three main paths when facing potential gatekeeper restrictions.
| Provider | EU Region Footprint | DMA Gatekeeper Risk | Typical AI Workload Price per GPU-hour |
|---|---|---|---|
| AWS | 8 regions | High | $1.50–3.20 |
| Azure | 7 regions | High | $1.40–3.00 |
| OVHcloud | 4 regions | Low | $0.90–1.80 |
| Scaleway | 3 regions | Low | $0.80–1.60 |
Smaller providers avoid gatekeeper obligations but offer fewer managed AI services and smaller GPU fleets.
Who Should Prepare Now
Teams with more than 50% of their inference or training spend inside AWS or Azure EU regions should audit data export processes and test multi-cloud setups. Startups under 50 employees or those already on European sovereign clouds face lower immediate impact.
Companies relying on tightly integrated services such as SageMaker or Azure ML should budget engineering time for potential interoperability changes.
Practical Next Steps
Review the latest DMA compliance documents once published. Test data export pipelines using standard formats such as Parquet and ONNX. Evaluate at least one non-gatekeeper European provider for a non-critical workload.
Bottom line: The designation adds compliance overhead and potential migration costs primarily for teams locked into AWS or Azure EU infrastructure.
European cloud designations under the DMA are likely to expand beyond the initial two providers within 18 months.
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