Build a GDPR-Compliant AI Pipeline with Intel TDX — Step by Step: 3 Hours vs 6 Months

Short summary

Author with 6 months of hands-on experience provides step-by-step guide to building GDPR-compliant AI pipelines using Intel TDX (Trusted Domain Extensions), which creates hardware-isolated VMs where CPU encrypts GPU memory, preventing cloud providers from accessing sensitive data. Compares three deployment approaches: Azure Confidential ($10k/mo, 6+ months setup), self-hosted ($8.5k/mo, 3-4 months), and VoltageGPU ($3.5k/mo, 3 hours), with working Python/curl code examples and GDPR Article 30 compliance record generation templates.

• •Intel TDX creates hardware-isolated VMs where CPU encrypts memory—cloud providers literally cannot access data via hypervisor escape or privileged access
• •Three deployment paths compared: Azure Confidential ($10k/mo, 6+ months), self-hosted ($8.5k/mo, 3-4 months), VoltageGPU ($3.5k/mo, 3 hours)
• •Includes working code for attestation verification, Article 30 compliance records, OpenAI-compatible inference, and honest tradeoff analysis

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