Data Privacy

11 guides in this topic

No LLM is HIPAA certified, or FERPA certified, or cleared under the EU AI Act. Only a deployment is, and that distinction is the whole reason this cluster exists. Each post takes a specific regulatory framework, healthcare, education, defense (CMMC 2.0), EU banking (DORA), state government (GovRAMP), federal agencies (FedRAMP), and works through what it actually requires from infrastructure, where a vendor's BAA or terms of service quietly stops covering you, and how self-hosting closes that gap.

We also cover the certifications GPU clouds themselves carry: SOC 2 Type II is now close to standard, ISO 42001 is spreading through hyperscalers and AI vendors but hasn't reached neoclouds yet, and confidential computing, NVIDIA's TEE with encrypted VRAM, is the newest layer for workloads that need cryptographic proof that even the infrastructure provider can't see the data.

The pillar post, EU AI Act Compliance on GPU Cloud, is the broadest of the set, covering risk classification, data residency, and model governance with a step-by-step checklist. If you're weighing a specific regulation, start with that framework's post directly. The pattern repeats: know exactly what the regulation requires, then build the deployment that satisfies it instead of trusting a vendor's compliance claim.

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