API Reference

Complete documentation for the VoltageGPU API. Explore endpoints, SDKs, and code examples to integrate confidential AI into your applications.

Quick Start Example

Python
import voltagegpu

# Initialize the client with your API key
client = voltagegpu.Client(
    api_key="YOUR_API_KEY"
)

# Create a GPU instance
instance = client.instances.create(
    gpu_type="A100",
    region="us-east-1",
    name="my-training-job"
)

# Run your workload
result = instance.run(
    image="pytorch/pytorch:latest",
    command="python train.py"
)

print(f"Job completed: {result.status}")

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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.