ChatGPT Enterprise relies on a policy toggle. VoltageGPU uses Intel TDX hardware enclaves: the CPU physically prevents anyone from accessing your data, including us.
Try VoltageGPU FreeThirteen dimensions that matter when your data is regulated. Policy promises vs hardware guarantees.
| Feature | ChatGPT Enterprise | VoltageGPU |
|---|---|---|
| Privacy guarantee | Policy-based (contractual promise) | Hardware-sealed (Intel TDX, CPU enforced) |
| Operator access to data | Technically possible (memory accessible) | Architecturally excluded from plaintext access (TDX design) |
| Training data opt-out | Policy toggle (no cryptographic proof) | No prompt/output retention by design by hardware design |
| Data residency | US datacenters | French controller, transfer documented, memory sealed in TDX |
| Hardware attestation | Not available | Hardware-signed proof (Intel TD quote) |
| GDPR Art. 28 | DPA available, technical gaps remain | Article 28 processor obligations, DPA available, enforced by hardware |
| CNIL compliance | Under scrutiny (EU regulators) | EU entity, EU law, hardware-sealed |
| Pricing (individual) | $20/user/mo | $20/mo (private sealed chat) |
| Pricing (team) | $60/mo | $349/mo (agents with tools) |
| API pricing | From $15/M tokens (GPT-4o) | From $0.15/M tokens (TEE models) |
| Specialized legal/finance agents | No | Yes: 9 templates (sovereign legal, contract, finance, compliance, medical, M&A, cyber, HR, tax) |
| Clause checklists | No | Yes, IACCM/ABA 23-clause checklist |
| Risk scoring | No | Yes, deterministic weighted scoring |
The fundamental difference is not features: it is architecture. One relies on promises. The other relies on silicon.
OpenAI promises not to train on your data and restricts employee access via policy. But the infrastructure allows it. Memory is accessible. Attestation is not available. You trust their word.
VoltageGPU runs every workload inside Intel TDX hardware enclaves. The CPU encrypts all memory with AES-256. The host OS, hypervisor, and operator are excluded from the trust boundary. You verify the hardware, not a contract.
For general productivity: drafting emails, brainstorming, summarizing public information, ChatGPT Enterprise is a solid tool. OpenAI has invested heavily in enterprise features, SOC 2 compliance, and admin controls. If your data is not regulated and does not contain personal information, ChatGPT Enterprise may be all you need.
The difference matters when you process client personal data, medical records, financial documents, or legal files : data where a contractual promise is not enough, and your regulator expects hardware-level proof.
Industries where regulators expect more than a privacy policy.
Attorney-client privilege requires that no third party can access communications. Hardware enclaves enforce this at the CPU level, not via a policy toggle.
Patient records under GDPR and HIPAA require technical safeguards, not just contractual ones. Hardware-sealed processing meets the highest standard.
DORA, MiFID II, and banking secrecy regulations require demonstrable technical controls. Publicly verifiable attestation provides auditable proof.
Sovereign data requirements demand EU jurisdiction processing with hardware isolation. No US-based provider can guarantee this architecturally.
Private chat from $20/mo. Confidential agents from $349/mo. API $0.15/M tokens.