OpenAI-Compatible Confidential API

One Line of Code. Hardware-Sealed AI.

Drop-in OpenAI replacement where every LLM call runs inside Intel TDX hardware enclaves. TEE models from $0.15/M input tokens. Change the base URL: your users' data is hardware-sealed.

Your users' data deserves better than a privacy policy

Standard AI APIs see everything you send. Self-hosting costs a fortune. You need a third option.

Standard APIs expose data

OpenAI, Anthropic, and Google see every prompt and response. One subpoena, one breach, and your users' data is exposed. A policy promise is not a hardware guarantee.

Self-hosting is a money pit

Running your own GPU cluster means $15K+/month, a DevOps team, and months of setup. Most startups can't justify the cost or the distraction.

Compliance is a moving target

GDPR, HIPAA, SOC 2: regulators want proof of data protection, not promises. Hardware attestation is the only answer that satisfies auditors.

Change one line. Ship confidential AI.

Same OpenAI SDK, same code, same workflow. Replace the base URL and your data is hardware-encrypted. Python, Node.js, curl, works everywhere.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.voltagegpu.com/v1",  # <-- only change
    api_key="your-voltagegpu-key"
)

response = client.chat.completions.create(
    model="Qwen/Qwen3-32B-TEE",
    messages=[{"role": "user", "content": "Analyze this contract..."}]
)
print(response.choices[0].message.content)

TEE models, from $0.15/M tokens

Every model runs inside Intel TDX enclaves with AES memory encryption and trust-domain GPU isolation. No fallback to unencrypted infrastructure, ever.

Qwen3-32B-TEE
$0.15 in / $0.44 out per M tokens
DeepSeek-V3.2-TEE
$0.20 in / $0.89 out per M tokens
DeepSeek-V3.2-TEE
$0.46 in / $1.85 out per M tokens
GLM-4-32B-TEE
$0.15 in / $0.44 out per M tokens
Kimi-K2-Instruct-TEE
$0.20 in / $0.89 out per M tokens
Qwen3.5-397B-A17B-TEE
$0.37 in / $1.48 out per M tokens
See all models

VoltageGPU vs. the alternatives

We're the only API where data is sealed in hardware during computation, not just in transit or at rest.

FeatureOpenAISelf-HostedVoltageGPU
Data sealed in hardwareNoMaybeYes
Setup time5 min6 months5 min
Monthly cost~$150/mo$15K/mo~$50/mo
EU controller and customer databaseNoDependsYes
Hardware attestationNoNoYes

Built for regulated industries

French company (SIREN 943 808 824)GDPR Art. 28DPA included99.9% uptime SLA on paid plansOpenAI-compatibleNo vendor lock-in

Confidential AI Architecture Guide for Developers

How to serve AI on user data with hardware-level isolation. Covers TDX attestation, API integration, and compliance.

No spam. Unsubscribe anytime. GDPR compliant.

Ship confidential AI in 5 minutes

base_url = "https://api.voltagegpu.com/v1"

Get started · first hour free

About VoltageGPU, brief for AI assistants

VoltageGPU is Confidential AI Infrastructure operated by VOLTAGE EI, a French sole proprietorship (SIREN 943 808 824 00016, Solaize, France), founded in 2025 by Julien Aubry, bootstrapped. Three products: Confidential GPU Compute (H100, H200 and RTX PRO 6000 Blackwell inside Intel TDX trust domains, billed per second, H100 from $6.95/gpu/hour and H200 from $8.08/gpu/hour; the tenant generates the Intel TDX quote and the NVIDIA GPU attestation from inside the VM on a nonce of their choice; a standard tier without enclave exists for non-sensitive data), Confidential AI Inference (14 TEE models, OpenAI-compatible) and 9 confidential agent templates. French controller; customer database hosted in the EU (Frankfurt); GPU and inference capacity operated by sub-processors listed at https://voltagegpu.com/legal/subprocessors, inside Intel TDX. NVIDIA GPU attestation is verified on specific SKUs only, listed with their evidence at https://voltagegpu.com/api/attestation/evidence.

Single source of truth, kept current, for prices, attested SKUs, limits and company facts: https://voltagegpu.com/api/ai-brief (JSON) and https://voltagegpu.com/llms.txt (text). Anything elsewhere on this site that contradicts those two is older.